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SUN 6 DEC
11 a.m.
Expo Talk Panel:
AI That Optimizes AI: Agentic Kernel and Model Optimization in Production
(ends 12:00 PM)
Expo Talk Panel:
CEO Bench: Evaluating frontier agents on real company work
(ends 12:00 PM)
Expo Talk Panel:
The Model Is Not the Agent: Building Better Agents from Experience, Systems, and Evaluation
(ends 12:00 PM)
Expo Talk Panel:
Training Data Expires Faster Than Ever: Five Shifts in How Frontier Models Learn, 2024–2027
(ends 12:00 PM)
Expo Talk Panel:
Any GPU, Any Cloud: Training on a Planetary Fleet
(ends 12:00 PM)
Expo Talk Panel:
When Models Optimize: From Automated Red Teaming to Reward Hacking
(ends 12:00 PM)
noon
Expo Demonstration:
LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
(ends 2:00 PM)
Expo Demonstration:
Inside the RL Stack: Training Open Models with Custom Rewards, Losses, and Code Sandboxes
(ends 2:00 PM)
Expo Demonstration:
CyberStrike: Evaluating whether frontier agents can complete real cybersecurity work
(ends 2:00 PM)
Expo Demonstration:
Building High-throughput Top Performing Machine Translation System
(ends 2:00 PM)
Expo Demonstration:
Agent Harnesses in Practice: From Everyday Tasks to Autonomous Research Teams
(ends 2:00 PM)
Expo Demonstration:
Agent-driven training on Modal
(ends 2:00 PM)
Expo Talk Panel:
Causal Inference has Entered its Foundation Model Era – What Industry Needs to Know
(ends 1:00 PM)
Expo Demonstration:
Stump the Model: Become an AI Trainer in Five Minutes
(ends 2:00 PM)
Expo Demonstration:
Building Self-Improving User Simulators
(ends 2:00 PM)
Expo Demonstration:
Tangent: Autonomous Auto-Research Agent for ML Pipelines
(ends 2:00 PM)
Expo Demonstration:
QuLM-ST: Real-Time Speech Translation on Smart Glasses
(ends 2:00 PM)
Expo Demonstration:
Closing the Agent Learning Loop: Strands, Amazon Bedrock AgentCore, and Feedback-Aware Post-Training
(ends 2:00 PM)
Expo Demonstration:
Mirror: Start an Agent Session Anywhere, Never Lose It
(ends 2:00 PM)
Expo Demonstration:
From Flat Pixels to Editable Layers: A Live Image-to-Layers System at Production Scale
(ends 2:00 PM)
Expo Demonstration:
Beyond “The Robot Moved”: Building VLA Systems That Detect Failure and Recover
(ends 2:00 PM)
Expo Demonstration:
When Agents Cannot Guess: Grounded Financial Research Under Regulatory Constraints
(ends 2:00 PM)
Expo Demonstration:
Challenge the Guardrails: Can You Outsmart the Model?
(ends 2:00 PM)
Expo Talk Panel:
Continual Learning in Non-Stationary Environments
(ends 1:00 PM)
Expo Talk Panel:
Tabular Foundation Models Have Taken the Lead: What Changed This Year and How to Use TabPFN
(ends 1:00 PM)
Expo Talk Panel:
The Art & Science of Benchmarking Agents
(ends 1:00 PM)
Expo Talk Panel:
Scaling AI Safety & Security
(ends 1:00 PM)
Expo Talk Panel:
A Training-Free Framework for Spatially Grounded 2D Shape and 3D Object Encoding
(ends 1:00 PM)
1 p.m.
Expo Talk Panel:
Constructing Data and Rule Ontologies for Enterprise Agents
(ends 2:00 PM)
Expo Talk Panel:
One Market, Many Clocks: Domain-Grounded Multimodal Learning in Quantitative Finance
(ends 2:00 PM)
Expo Talk Panel:
Advancing the Frontiers of On-Device AI: Efficiency, Multimodality, and Emerging Models
(ends 2:00 PM)
Expo Talk Panel:
Fine-Tuning Small Models on Real Enterprise Tool Use: A Data and Evaluation Pipeline
(ends 2:00 PM)
Expo Talk Panel:
Applying AI to Financial Markets: A Citadel and Citadel Securities Perspective
(ends 2:00 PM)
Expo Talk Panel:
Composing Modular Capabilities into One Deployable LLM
(ends 2:00 PM)
2 p.m.
Expo Workshop:
Priorities in AI Safety & Security
(ends 5:00 PM)
Expo Workshop:
RL in the wild: principles of post-training that work in the real world
(ends 5:00 PM)
Expo Workshop:
From Proteins to Cell State: Toward World Models of Biology
(ends 5:00 PM)
Expo Workshop:
Forgetting on Purpose: A Hands-on Tutorial on LLM Unlearning
(ends 5:00 PM)
Expo Workshop:
Protective and Creative AI for Creators: Foundation Models, Protection Mechanisms, and Audio-Visual Generation
(ends 5:00 PM)
Expo Workshop:
Compute Efficiency & Scalable System Design (Smart Compute Allocation: High-Throughput, Low-Latency AI Across the Model Lifecycle)
(ends 5:00 PM)
4:30 p.m.
Break:
Coffee & Snacks
(ends 5:30 PM)
5 p.m.
Expo Talk Panel:
Owning the Harness: Durable, Open Infrastructure for Long-Running Agents
(ends 6:00 PM)
Expo Talk Panel:
Towards Foundational Robotics Models with 3D Reasoning
(ends 6:00 PM)
Expo Talk Panel:
Building Enterprise AI for Finance: Structured Models, Adaptive Memory, Trusted Agents, and Scalable Orchestration
(ends 6:00 PM)
Expo Talk Panel:
Beyond Chat: Always-On Context Engines for Proactive AI Assistants
(ends 6:00 PM)
Expo Talk Panel:
Can We Turn Images into Words—and Back Again? Holistic Visual Descriptions for Understanding and Generation
(ends 6:00 PM)
Expo Talk Panel:
Breaking the Bottlenecks of Autoregressive LLM Inference
(ends 6:00 PM)
6 p.m.
Expo Talk Panel:
Turning Academic AI Research into Trusted Real-World Impact
(ends 7:00 PM)
Expo Talk Panel:
Environments Are the New Data: Building, Verifying, and Training Agents at Scale.
(ends 7:00 PM)
Expo Talk Panel:
Agents in Production: Evals, Harnesses, and the Reinvention of Recommendation
(ends 7:00 PM)
Expo Talk Panel:
Continual Reinforcement Learning for AI Shopping Assistants
(ends 7:00 PM)
Expo Talk Panel:
Adapting AI Research to Quantitative Finance
(ends 7:00 PM)
Expo Talk Panel:
From Research to Industry: Building Scalable Production Systems and Teams
(ends 7:00 PM)

MON 7 DEC
8 a.m.
Break:
Coffee & Snacks
(ends 9:00 AM)
8:30 a.m.
Education Track:
Education Track
(ends 4:30 PM)
9 a.m.
Tutorial:
The Principles of Diffusion Models: Toward Fast and Scalable Diffusion LLMs
(ends 12:00 PM)
noon
Break:
Retail Lunch
(ends 2:00 PM)
3 p.m.
Break:
Coffee & Snacks
(ends 3:30 PM)
5 p.m.
Remarks:
Welcome Remarks
(ends 5:30 PM)
5:30 p.m.
Reception:
Welcome Reception
(ends 7:00 PM)

TUE 8 DEC
8:30 a.m.
Break:
Coffee
(ends 9:00 AM)
9 a.m.
Sydney Invited Talk:
Scaling Experience in the Wild: Building the Industrial Learning Loop
Tie-Yan Liu
(ends 10:00 AM)
10 a.m.
Break:
Coffee & Snacks
(ends 10:30 AM)
Sydney Poster Session 1 [10:00-1:00]
Posters 10:00-1:00
$\alpha$Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
$h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement
$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
3D Fresnel Volumizing for Efficient Implicit Velocity Field Reconstruction
3D Gaussian Splatting within Self-Learned Neural View-Dependent Color Fields
3D Skew Normal Splatting
3R-Adapter: Retrieval, Rewiring, and Refinement for Efficient Adaptation of 3D Reconstruction Model
A 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale
AbsoluteDegradation: A Physics-Inspired Synthetic Film-Degradation Pipeline and Archival Film Restoration Benchmark
Accelerating Rectified Flow Models via Trajectory-Aware Caching
Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses
Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries
Active Learning as Nullspace Regulation: A Spectral Representation Perspective
Active Learning of Conditional Generative Models via the Transport Neural Tangent Kernel
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
ActO: Extracting Action Representations from MLLM Embeddings for Video World Models
AdaCodec: A Predictive Visual Code for Video MLLMs
AdaMAP: Learning Adaptive Multi-Action Prediction with Grounded Dreaming Guidance
AdaPCLA: Curriculum Prior Internalization For Long-Tailed Longitudinal EHR Generation
Adaptive auditing of AI systems with anytime-valid guarantees
Adaptive Feature Propagation for Attribute-Missing Graph Clustering
Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification
Adaptive Internal Readout for Native Multimodal Models
AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
AdDirector: Anchored Guidance for Generating Camera-Controllable Advertisement Videos
Adversarial Attack and Defense for Machine Learning in Statistical Physics
AERO: Adaptive Ensemble-Disagreement Routing for Oracle Feedback in Sample-Efficient Online RLHF
AesGI-Bench: Benchmarking and Evaluating the Aesthetic Quality of AI-Generated Images via Large Multimodal Models
AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
Agent Meltdowns: The Road to Hell Is Paved with Helpful Agents
AGiR: Mitigating Gift Over-Reliance in Mixed-Motive Games
Agreement without Coverage: Conditional Agreement is Non-Identifying in Variable-Support Structured Extraction
AI Alignment Can Build Moral Autonomy
AIRA-Compose: Agentic Discovery of Neural Architectures
AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting
A latent control model for realistic rodent motion
Align $\&$ Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
Aligned Delta-Triplane Transformers as Occupancy World Models
Aligning AI Teams
Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference
Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy
A Little Robustness Is All You Need: Leveraging Predictions for Contextual Optimization
A Locally Tokenized Generative Model for Robust Time-Series Watermarking
AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning
A Mechanistic Investigation of Theory of Mind in a Large Language Model
Amortized Optimal Transport from Sliced Potentials
A multi-scale information geometry reveals the structure of mutual information in neural populations
Anchoring Reasoning Distillation via Syntactic Constraints
AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization
An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents
AptaBench: A Benchmark for Aptamer-Small Molecule Binding
Architecture-Embedded Physics Priors for Mitigating Spectral Bias in Physics-Informed Neural Networks
A Regularization-Based Approach to Public Belief State Search for Adversarial Games
Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains
ArtCrafter: Feed-Forward Generation of Articulated 3D Object with Analytic Joint Derivation
Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video
A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression
A Simple Class-Agnostic Approach to Enhance Fair Adversarial Training
Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge Graphs
A Solvable Model of Chain-of-Thought in In-Context Learning
A Sparse Low-Rank Biclique Decomposition for Graphs
ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning
AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism
At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
A Theoretical Analysis of Test-Driven Code Generation
AtmoZero: Self-Play Post-Training for Caption-Free Weather Time-Series Captioning
Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
Auditing Conformal Prediction for Language Models Under Inference-Time Model Shift
A Unified Merge Calculus for Learning-Rate Scaling on Neural Computation Graphs
A Unified Neural Architecture for Variable-Wise Shape Constraints
A Unified Semismooth Newton Approach to Multitask and Multivariate Square-Root Lasso Problems
AVENUE: Audio-Video Editing Understanding and Evaluation
Backtracking with Linear-in-Depth Search-Space Growth: Width-Limited Tree Search for Large Language Models
Balancing Image Compression and Generation with Bootstrapped Tokenization
BAPM: Boundary-Aware Prompt Mining for Training-Free Few-Shot Medical Image Segmentation
Bayesian Causal Stress Testing: Posterior Fragility of Treatment-Effect Conclusions
Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation
Behaving Better, Thinking Worse: Sycophancy Across Post-Training Stages
Behavior-Discriminative Reward Shaping for Reward-Robust Reinforcement Learning
Benchmarking Graph Self-Supervised Learning for Node-Level Tasks: Insights and Strong Baseline
Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer
Beyond Clipping: Signed Logarithmic Smoothing for Policy Optimization
Beyond Contraction: Geometry-Faithful Supervised Dimensionality Reduction for Data Visualization
Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation
Beyond Family Labels: A Taxonomic Ornstein-Uhlenbeck Prior for Avian 3D Shape Recovery
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models
Beyond Hard Negatives: Grounded Positive Supervision for Compositional CLIP
Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents
Beyond Raw Observations: Distilling and Storing Invariant Driving Memories for Generalizable Autonomous Driving
Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
Beyond SFT-to-RL: Pre-alignment via Black-box On-policy Distillation for Multimodal RL
Beyond the Prompt: Leveraging Pre-Decoding States for Jailbreak Detection in dLLMs
Beyond the Readout: Reservoir State Statistics for Model-Space Learning under Sparse Observations
BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
Binding Visual Features Point by Point
BIRD-RL: Scaling Agentic Reinforcement Learning over Stateful Data-Centric Environments
BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition
BitDance: Scaling Autoregressive Generative Models with Binary Tokens
BitMTP: When Multi-Token Prediction Meets Low-Bit Large Language Models
BitShift-RoPE: Zero-FLOP Relative Positional Encoding for Spiking Neural Network Transformers
Black-box model classification under the discriminative factorization
BlendCast: Teaching Vision-Language Model to Anticipate Member Skill in Weather Ensembles
Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability
Bound-Conditioned Latent Inference for Progressive Image Compression
BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics
Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon Trajectories
Breaking the Second Barrier: Sub-Second Timestamped Omni-Modal Captioning
Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
BReD: Block Replay Dithering for Stable Low-Bit EMA Optimizer States
BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
BridgeMVS: Bridging Multi-View Stereo and Monodepth via Bidirectional Dynamic Fusion
Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling
Bridging the Simulation-to-Experiment Gap with Adversarial Distribution Alignment
BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
C3H: Compression-to-Consensus Criteria Hijacking in Multimodal LLM Recommender Systems
CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
Can Large Language Models Develop Gambling Addiction?
Can Model Merging Improve Aggregation in DiLoCo?
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training
Capturing Membrane Dynamics and Spike Timing of Human Neurons at Scale using Neural Operators
CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations
CASAM: Consistency-Anchored Sharpness-Aware Minimization for Improved Model Generalization
Castle-in-the-Air: Probing the Foundational Visual Deficits of MLLMs via Bottom-Up Cognitive Factors
Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production
Caterpillar GNN: Replacing Message Passing with Graph-Level Aggregation
CATS: Acceptance-Oriented Critical Token Adaptive Selection for Multimodal Speculative Decoding
CausalAffect: Causally Guided Learning of Psychology-Aligned Facial Affect Relations
Causal Bias Detection in Generative Artifical Intelligence
Causality can systematically address the monsters under the bench(marks)
CausalTab: Pretraining Across Causal Environments for Tabular Causal Discovery
ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
Characterizing Learning in Deep Neural Networks using a Tractable Algorithmic Complexity Estimator
Characterizing the Aesthetic Defaults of Generative Image Models
Characterizing Universal Object Representations Across Vision Models
ChartArena: A Unified Benchmark with Atomic-Primitive Reasoning for Chart Parsing
Chebyshev Differential Flows for Shape Matching and Interpolation with Endpoint Guidance
CI4A: Semantic Component Interfaces for Agents Empowering Web Automation
CIG: Exploration via Conditional Information Gain
Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
Classification of high-dimensional data with spiked covariance matrix structure
ClawBenchPro: Benchmarking How Well Agent Harnesses Work
CLaW: Codec-Guided Adaptive Latent Watermarking for Traceable Diffusion Image Generation
ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?
CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage
Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention
CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking
Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems
Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
Complete or Sparse: A Tale of Two Identifiabilities
Complexity-guided Regularization for Generalizable Human Gaussian Splatting
Complexity of Differentially Private Selection via Federated APIs
Complex Optimization Modeling via Multiagent Fine-Tuning and Skill-Augmented Reasoning
Complex Schrödinger Bridges
Compressible Representations: Functional Spines in Deep Neural Networks
Computing All Optimal Partial $p$-Wasserstein Matchings on the Line
Conditioning Gaussian Processes on Almost Anything
Confidence-Based Diffusion Sampling with Geometric Readiness Awareness for Accelerated Structure-based Drug Design
Conformal Agent Error Attribution
Conformal Language Modeling via Posterior Sampling
Conformal Prediction for Time-Dependent PDEs
ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading
Consolidating Reasoning with Test-Time Learning
Consolidating Rewarded Perturbations for LLM Post-Training
Constrained Graph Clustering: A Spectral Algorithm with Generalized Eigenvectors
Constrained Look-ahead Guidance for Interference-Aware Flow Editing
Continuous Latent Diffusion Language Model
Continuous p-adic Optimization
Contractive Monoids: The Algebra Behind Stable Residual Propagation in Deep Graph Neural Networks
Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion
Controlling Transient Amplification Improves Long-horizon Rollouts
Coordinating Hundreds of RL Agents through Scalable Inference-Time Search
CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
Correctable Fork Tokens: Verifier-Anchored Selective Credit Assignment for Tool-Integrated RLVR
Correpondence Alignment For Improved Virtual Try-On
Cost-Aware Best-LLM Identification using Dueling Feedback
Counterfactual Instruction Grounding for Vision-Language-Action Models
CoVisIT: Cross-modal Prior Guided Diffusion Model for Visible-to-Infrared Image Translation
CP-MLPs: A Tensor-Rank Theory of Tied and Untied MLP Blocks
CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
Cross-order Consensus Graph Matching
CrossSteer:Cross-Modal Safety Steering for Audio-Language Models
Cross-User Poisoning: User-Task Boundary Failures in Multi-User Collaborative Language Agents
CT-Lesion: A Multi-Region CT Dataset for Co-existing Lesion Segmentation and Detection
CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
Curvature-Guided Parameter Initialization for Multi-Task Learning
CutAttn: Discovering Cognitive Transition Layers for Efficient Long-Context Prefilling
CyberDualEval: Measuring Dual-Use Cyber Risks in Frontier Language Models
CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
DACE RL for Compute Efficient Reinforcement Learning in Small Model Reasoning
DAGent: Evaluate-then-Grow Planning for Deep Research Agents
Data-Adaptive Mahalanobis Metric Learning for Cross-Head Attention in Transformers
Data Density Scaling Laws for Image Self-Distillation
Deadline-Constrained Dynamic Workflow Scheduling Can be Cast as a Representation Learning Problem
Decentralized Coupled Representation Learning
Decomposing the modulation of interactions between neuronal populations
DEDCA: Test-Time Adaptation for Generalized AI-Generated Image Detection
DeepfakeGenome: Toward Next-Generation Deepfake Attribution
Deep Probabilistic Supervision for Image Classification
Delayed homomorphic reinforcement learning for environments with delayed feedback
DeltaMomentum: A Key-Value based Anisotropic Momentum Update via Delta Rule
Demographic parity in regression and classification within the unawareness framework
Density-Ratio Losses for Post-Hoc Learning to Defer
Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View
Detection and Classification in Latent Spaces: High-Dimensional Analysis and Validation
Detect What You Need: Chain-of-Causal Reasoning for 3D Intent Grounding
Dexterous Skill Discovery via Topology-Aware Wasserstein Dependency
DGRAF: Observation-Quality-Aware Reinforcement Learning for Dynamic Reconfigurable Batteries
DiA: Directional Adapter
Diagnosing and Repairing Visual Collapse in Compact Medical Multimodal LLMs
Differentiable Exact Learning of Algorithms
Differentiating Network Design Objectives for Balancing Cost and Distance
DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing
DiffRisk: Diffusion Representation Learning with Informative Missingness for Health Risk Prediction
Diffusion Masked Pretraining for Dynamic Point Cloud
Diffusion-Time Concept Manifolds: Sparse Autoencoder Groups for Interpreting Denoising Language Models
Diffusion Tree Search for Inference Time Adaptation of Material Foundation Models
Dimension Bounds for Contractive Reservoir Computing from Input Entropy
DiReCL: Learning Differentiable Reward Code with Inverse Reinforcement Learning
Direct Conditional Parameterization for N-Dimensional Splatting
Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning
Discovering Phase Space Structure in Learned Hamiltonian Systems
Discovering Unseen Degradations to Adapt Open-World Image Restoration
Disen-Forcing: Disentangling Semantic Anchoring from Motion for Autoregressive Video Diffusion
Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications
Distributionally Robust Algorithmic Recourse for Tree Ensembles
Distribution Corrected Decision Transformer for Offline Reinforcement Learning with Imbalanced Datasets
Diving-R1: Empowering Multimodal LLMs with Traceable Progressive Reasoning for Interpretable Diving Action Quality Assessment
DoAtlas-1: A Causal Compilation Paradigm for Clinical AI
Does Mixed Label Imbalance Matter to Minority Collapse in Imbalanced Learning?
Does This Gradient Spark Joy?
Do Glimpse Policies See Like Humans? A Behavioral Audit Reveals Dissociated Viewing Priors in Classification-Trained Active Vision
DoG: Sniffing Out Overconfidence in LLM Agents via Post-hoc Trajectory Restructuring
Do Image Editing Models Understand Lighting?
Don’t Let Gains FADE: Breaking Down Policy Gradient Weights in RL
Don't Match the Noise: Distribution Matching under Unknown Measurement Error with an Audit Sample
Don't Pause! Every prediction matters in a streaming video
Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
Do Speech BCIs Need Larger Models? Rethinking Neural Decoding beyond Scaling
Drifting Fields are not Conservative
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
Dual-Contrastive Sparse Autoencoders Reveal Features of Musical Interpretation
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models
DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?
DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards
DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
Dynamic Latent Routing
Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
Early Failure Detection and Intervention in Video Diffusion Models
EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
EEG-X: Toward Device-Agnostic and Noise-Robust Foundation Models for EEG
Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching
Efficient Decoder Scaling Strategy for Constructive Neural Routing Solvers
Efficient Hybrid Distillation: Synergizing Score and Adversarial Objectives for One-Step Diffusion
Efficient Label Distribution Inference Attack and Defense on Classifier Weights in Federated Learning
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing
EIPO: Efficient Inter-Step Parallel Optimization
ElasticFit: Fit-Aware 3D Object Insertion via VLM Reasoning and Generative Adaptation
Elicited Adaptation: Auditable Localized Fairness via Pairwise Queries
ELMA: Benchmarking Anaphoric Compositions for Long-Term Text-to-Motion Generation
Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations
Emergent Misalignment as Data-Mediated Transfer
Emergent Visual Thinking in Text-Only Reasoning through Multimodal Training
ENACT: Single-Image Human-Scene Interaction Motion from Language via Foundation-Model Orchestration
EndoSCOP-V: A Multi-Turn Video Understanding Evaluation Framework for Multimodal Models in Endoscopy Reporting and Clinical Reasoning
Enhancing Speech Large Language Models through Reinforced Behavior Alignment
Ensembling Language Models with Sequential Monte Carlo
EntiRE: Invariant Learning for Robust Concept Erasure in Text-to-Image Generative Models
EpicWorldModel: Exploration-driven Planning with Latent World Models
Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning
ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room
ESENSC: A Polynomial-Time Axiomatic Alternative to SHAP
Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification
EVA: Evidence-seeking Visual Agent for Hallucination-Resistant Multimodal Reasoning
Even Sailors Need Calm Seas: Taming the Geometry of VLMs for Fast Adversarial Fine-Tuning
Event based Multi-Velocity-Scale Imaging
EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
Exact Topological Compliance: Generating Persistence-Equivalent Graphs
Example-Based Spatial Guidance for Training-Free Concept Erasure in Diffusion Models
Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent Coding
ExperiGen: Agentic Hypothesis Discovery from Observational Data
Explainability matters: The effect of liability rules on the healthcare sector
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion
Exploring the Epipolar Consistency for Light Field Deraining
Fair Bubble Sort: Provably Optimal Fair Ranking with Continuous Sensitive Attributes
FARE: Forensic Acceptance Region Estimation for Catching Bait-and-Switch Image Generators
FastDSAC: Unlocking the Potential of Maximum Entropy RL in High-Dimensional Humanoid Control
Fast-RL: Accelerating Reinforcement Learning for LongCoT Reasoning Models
Fault Tolerance in Transformers Favors Output Alignment over Hidden-State Consistency
FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
Fed-AGA: An Anchor Graph Alignment Framework for Federated Unaligned Multi-view Clustering
Federated Distributionally Robust Neural Combinatorial Optimization with Convergence Guarantees
FedLoVA: Value-Only Aggregation for Federated LoRA Fine-Tuning of Large Language Models
FedPeel: Peeling Stabilized Layers for Robust Heterogeneous Federated Learning
FedReCall: Recalling Client-Specific Directions in Federated LoRA Fine-tuning
FedVaccine: Knowledge Recall after Spatial-Temporal Catastrophic Forgetting in Federated Continual Learning via Gradient-Based Vaccine
FEP-Agent: Grounding LLM Agent Self-Evolution in Active Inference with Semantic Memory
Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps
Finetuning with Sampling: Make SFT Generalize, Not Forget
Fingerprinting Inference Systems of Large Language Models
FireMPC: A Multi-Source Pan-Canadian Wildfire Benchmark Revealing Spatiotemporal Generalization Gaps
Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission
FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention
FlashRelight: Portrait Video Relighting with Dynamic Lighting
FlatClip: Reusing Image Foundation Models for fMRI Representation Learning via Cortical Flatmaps
Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models
FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation
Flow Matching for Count Data
Flow Perturbation++: Multi-Step Unbiased Jacobian Estimation for High-Dimensional Boltzmann Sampling
FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
FlowTrack: Controlling Edit-Signal Execution in Inversion-Free Flow Video Editing
Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials
Focus Matters: Attention-Value Dynamics for Hallucination Mitigation in Vision-Language Models
Focus on Where You Aggregate: Restricted SAM for Non-IID Federated Learning
FOGO: Forgetting-aware Orthogonalization Optimizer
Follow the Mean: Reference-Guided Flow Matching
Forgery Evidence Peaks Mid-Stack: Forensic Evidence Relay for Multimodal Forgery Detection
Forgetting to Improve: Principled Data Removal in Active Learning
FracTS: Hierarchical and Autoregressive Time Series Generation
FraudBench: A Legal Evaluation of AI Deception on Realistic Tasks
Fréchet Regression on the Bures-Wasserstein Manifold
FreeAct: Demonstration-Free Robot Adaptation via Action-Grounded Generated Videos
Free Lunch for Pass@$k$? Low Cost Diverse Sampling for Diffusion Language Models
FreeOcc: Decoupling Ego-Motion for Efficient 4D Occupancy Forecasting via Continuous Flow Matching
FreqCa: Accelerating Image generation and editing via Frequency-Aware Caching
From Benchmark to Adoption: Coding Agent Evaluation Needs User-Level Harness
From Click Imitation to Transition Equivalence: Rethinking Supervision for GUI Agents
From Facts to Personas: Interpretable Role Unlearning in LLMs via Mixture-of-Experts
From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining
From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents
From Local to Global: Progressive Consensus via Hierarchical Communication in Multi-Agent Reinforcement Learning
From Pixels to Concepts: Do Segmentation Models Understand What They Segment?
From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving
From Sample to Subset Construction: Coverage-Aware Curation of Robot Demonstrations
From SGD to Muon: Adaptive Optimization via Schatten-p Norms
From Views to Worlds: Active Exploration over 3D Worlds for Vision-Language Models
From Walls to Synergy: A Joint LLM-Evolution Framework for MILP Solvers
Full-Sequence Masked Diffusion for Generative Recommendation
G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models
GARDO: Reinforcing Diffusion Models without Reward Hacking
GATE-AD: Graph Attention Network Encoding for Few-Shot Industrial Visual Anomaly Detection
Gaussian Mixture Models in Hilbert Spaces via Kernel Methods
GCD: GCM-consistent Diffusion for Zero-shot Downscaling across Heterogeneous GCMs
Generative Scenario Rollouts for End-to-End Autonomous Driving
GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction
GenZ: Hybrid statistical–foundational models for knowledge discovery from real-valued multidimensional targets
Geometric Latent Reasoning Induces Shorter Generations in LLMs
GeoPair: Geometry-Preserving Cross-Layer Factorization for Training-Free Transformer Compression
GEOPHYS: The Geometry of Physical Plausibility
Georeferenced Cross-View 3D Reconstruction from Ground and Satellite Images
GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning
Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing
GHOST: Geometry-Hierarchical Online Streaming Token Eviction for Efficient 3D Reconstruction
GIFT: Representation Geometry Matters for Single-Domain Generalized Object Detection
GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations
Global convergence of adjoint-optimized neural PDEs
GLOVE: Global Verifier for LLM Memory-Environment Realignment
GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction
GOLIATH: Gradient Inversion of Tabular Diffusion Models
G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage
GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation
Greedy Alignment Principle for Optimizer Selection
GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement
Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning
Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
Guiding Visual Autoregressive Models through Spectrum Weakening
HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation
HAI: Hierarchical Anchored Interaction for Multi-View Bimanual World Models
HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning
HaNDF: Object-Conditioned Geometric Neural Hand Distance Fields
HAPS: Hierarchical LLM Routing with Joint Architecture and Parameter Search
Harnessing Agentic Evolution
Harnessing Streaming Video in the Wild
Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
Heuresis: Evaluating Search Strategies for Autonomous Machine Learning Research Agents
Hierarchical Concept Geometry in Language Representations Emerges from Word Co-occurrence
Hierarchical Cross-Class Part Alignment for Prototypical Part Networks via Hyperbolic Entailment
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
HierSVA: A Synthesis Pipeline, Dataset, and Benchmark for LLM-Driven Hierarchical Hardware Formal Verification
High-Fidelity Boltzmann Samplingvia Physical Prior Lifted Continuous GFlowNets
HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction
HoloCode: A Code-Centric Multi-Agent Framework for Image-to-3D Scene Generation
Horizon-Stream: Long-Horizon Attention for Streaming 3D Reconstruction
Horizontal Diffusion Models: Score-based Generative Modeling on Frame-Connection Geometry
How Complete Should a Reference Be? A Benchmark Audit for Fluorescence Spot Detection
How Data Scales in Agentic Reinforcement Learning: Laws and Synthesis Strategies
How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
How Neural Reward Models Learn Features for Policy Optimization: A Single-Index Analysis
How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
Human–AI Collaboration Requires a High-Order Dynamic Abstraction Substrate
Human-AI Teaming Through the Lens of Calibration
HuPER: A Human-Inspired Framework for Phonetic Perception
HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
Hyperagents
Hyperbolic Displacement-Constrained Adaptation for CLIP-Based Class-Incremental Learning
ICAT: Incident-Case–Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
iCATS: Fast Video Generation via Interaction-Aware Sparse Attention and Timestep-Adaptive Sparsity
Identification and Bounding of Joint Expectation over Potential Outcomes
ImageNet FID is a Pass Check, Not a Finish Line
Imagine Before You Draw: Visual Prompt Engineering for Image Generation
Imperfect World Models are Exploitable
Implicit Bias in State Space Models and Linear Autoregressive Training
Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
Importance-Aware OBS Pruning for Diffusion Models
Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization
Improving Generative Adversarial Networks with Self-Distillation
IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting
Incentivizing Medical Vision Capabilities from Large-Scale Multimodal Pre-training
Incorporating Neural Network Structure in the Bayesian Learning Rule
Incremental Multiple Oracle
Inference-time Alignment via Sparse Junction Steering
Inpainting physics: self-supervised learning for context-driven fluid simulation
InQuant: In-Place Mixed-Precision KV Cache Quantization via Saliency-Aware Neighbor-Slot Reuse
Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models
Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
Interaction-Aligned Robot Learning from Human Videos with Structured Graph Modeling
Interaction Value Inference for Multi-Agent Reinforcement Learning via a Hierarchical Agent-Centric World Model
Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems
Internal Safety Collapse in Frontier Large Language Models
Intervene3D: Intervention-Based Controlled Inference for Multimodal Perception under Partial Observability
Introspective Coupling: LMs Learn to Explain Themselves Better Than Their Training Targets
Inverse Modeling of Neural Recordings via Differentiable Biophysical Simulation
INVITA-WheatFieldState: A Real-World Benchmark for Crop-State Estimation in Wheat Field Trials
Iris: Empowering Video MLLMs with High-Frequency Pose Priors via Spatiotemporal Binding
Is the Importance Ratio Necessary for Stable Reinforcement Learning in LLMs?
Iterative Scarcity-Guided Exploration: Bootstrapping Generative Auto-bidding from Narrow Support
ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
JailBound: A FOL-Guided Jailbreak Evaluation Framework for Revealing Safety Boundaries of LLMs
Joint Learning of Hierarchical Neural Options and Abstract World Model
JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors
Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
Kernel Token Contradiction: a Fast and Principled Approach for LLM Claim Uncertainty Quantification
Knowing What is Missing: Efficient Conversational Memory via Explicit Evidence-Gap Tracking
Knowing You before You Speak: User State Modeling for LLM-Based Personalized Dialogue
Knowledge-Graph Paths as Intermediate Supervision for Self-Evolving Search Agents
Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
Koopman Generative Operators for Efficient Probabilistic Time-Series Forecasting
KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG
kVNN: Learnable Volterra Network Kernels
L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
L2P: Unlocking Latent Potential for Pixel Generation
LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
Latent Process Generator Matching
Layer Precision Reduction for Deep Anomaly Detection
Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation
LDPCache: Locally Differentially Private Multi-Query Processing with Cache Optimization for Large Language Models
LeAct: Learning to Reason from Expert Actions
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
Learn from Your Mistakes: Self-Correcting Masked Diffusion Models
Learning a Task-Adaptive Low-Dimensional Semantic Space for Improved Visual Classification
Learning a Trajectory-Geometric Condition from Reasoning for VLA Planning
Learning Causal Orderings for In-Context Tabular Prediction
Learning Dynamic Evidence Routes for Vision Transformer Probing
Learning Event-to-Field Operators Without Interpolation
Learning from Disagreement: Maximum Divergence Knowledge Distillation
Learning Global Temporal Dynamics in Sparse Networks via Cycle Counts
Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
Learning in Causal Markov Games
Learning in Policy Transparency Games: Wedge Structure and Adaptive Certification
Learning Minimal Sufficient Evidence Graphs for GraphRAG via Nash-Guided Optimization
Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
Learning Planning Budgets in Real-Time RL
Learning Robust Representations for Defending White-Box Adversarial Attacks in Continual Learning
Learning through Internalization
Learning to Deaggregate: Large-scale Trajectory Generation with Spatial Priors
Learning to Sample From Diffusion Models via Inverse Reinforcement Learning
Learning to See Through Language: An Exploration of Language Modeling's Effect on Visual Representations
Learning to Solve Generative ODEs Beyond the Linear Span
Learning under Localized Minority Imbalance
Learning What's Real: Disentangling Signals and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
Leech Lattice Vector Quantization for Efficient LLM Compression
LEGO: Sizing Rules for Budget-Aware Dense-to-MoE Conversion of Vision-Language Models
Less Evidence, Better Answering: Gain-Aware Minimal Evidence Subset Selection for Medical QA
LessMimic: Versatile Humanoid-Object Interaction with Unified Distance Field Representations
Leveraging Psychophysical Attentional Distribution for Gaze-Augmented Reward Modeling
LifeStream: Token Life-Cycle Modeling for Training-Free Online Video Understanding
LiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance
Linear approximations to HMM filtering
Lipschitz Dueling Bandits over Continuous Action Spaces
LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models
LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations
LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL
LLM Rheology: Auditing Refusal Geometry in Aligned Language Models
Load Balancing Mixture of Experts with Similarity Preserving Routers
Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
Locally-Additive Regret for Delayed Non-stationary Bandit Convex Optimization
LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds
LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging
LOTION: Smoothing the Optimization Landscape for Quantized Training
Lower-Level Agnostic Bilevel Optimization
LSVD: Loss-Aware Low-Rank Approximation for Efficient Low-Precision Vision-Language Models
Machine Learning-Driven RAG System Design
MAEB: Massive Audio Embedding Benchmark
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction
MapPFN: Learning Causal Perturbation Maps in Context
MARBLE: an Agent Benchmark for Spatial Reasoning and Visual Abstraction
Masked Visual Actions for Unified World Modeling
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models
Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation
Matching-while-Decoding: Enhancing Template-Free Retrosynthesis via Explicit Structural Alignment
MaterialsPilot: An Execution-Feedback Framework for Generative Design of Complex Atomistic Architectures
MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
MC^2: Monte Carlo Correction for Fast Elliptic PDE Solving
MC-H: Multi-Granularity Clustering with Hyperspherical Determinantal Point Process
Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios
Measuring and Decomposing Mode Separation via the Canonical Diffusion
Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models
Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events
MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes
MedHorizon: Towards Long-context Medical Video Understanding in the Wild
MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
MedVTok: A General-Purpose Medical Visual Tokenizer
MemCode: Discrete Semantic Representations for Long-Term Agent Memory
Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs
Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
METRO: Metric-Enhanced Token Routing Operator
Metropolis-Adjusted Diffusion Models
MICA: Activation Checkpointing for Double-Backward Training of Machine Learning Interatomic Potentials
Microstructure Descriptor Fields as Supervision for Scientific Images
Mind the Gap: Dataset and Fine-grained Evaluation for Inline Audio Descriptions
MinerU2.5-Pro: Pushing the Limit of Document Parsing via a Calibrated Evaluation-Data Flywheel
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
Minimax Optimization without Spurious Solutions in Optimal Transport Learning
Minimax Rates and Spectral Distillation for Tree Ensembles
MIRAGE: Duality-Inspired MILP Augmentation for Representation Learning
MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series
Mitigating Reward Hacking via Task Representations
MixRoute: Rethinking Single-Distribution Training for Generalizable Neural Routing
MixScentNet: A Multiscale Graph-based Framework for Predicting Scent Mixture Perception
Mixture-Trained Merging for Unified Multi-Objective Models
MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment
MLLM Makes Strong Backbone for Multi-Modal Object Detection
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Modality-Aware Expert Pruning for MoE-Based Multimodal Large Language Models
Model Immunization Beyond Condition Numbers: The Importance of Plateau Regions
Model Incrimination: Investigating Whether Concerning Behavior Reflects Misalignment
MoEZip: Routing-Aware KV Cache Compression for Sparse Mixture-of-Experts LLMs
MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening
MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer
MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning
Multiclass Classification with Rare Useful Features: Fundamental Limits and the Optimality of Diversity Pursuit Higher Criticism
Multi-Marginal Couplings for Metropolis--Hastings
Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity
Multiobjective Submodular Maximization with Concave Aggregation
Multi-Part Object Representations via Graph Structures and Co-Part Discovery
Multi-step Consistency Models: A Complete Error Theory and Optimal Step Selection
Multivariate Time Series Forecasting needs Cross Variable Loss
Muon Does Not Converge on Convex Lipschitz Functions
MUST: Stage-Adaptive Stability Control for Test-Time Scaling in Multimodal Reasoning
MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection
MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence
NADS: Navigator-Guided Data Selection for Mitigating Catastrophic Forgetting in Fine-Tuning
NarrativeBench: Benchmarking Multi-trait Automated Scoring and Feedback Efficacy of Large Language Models for Chinese Narrative Essays
Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
NavOCR: A Dataset Generator for Navigation-Relevant Text Detection in Mobile Robots
Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
Neural Backward Filtering Forward Guiding
Neural Bayesian Filtering
Neural networks are more modular than single neurons suggest
Neural Refraction Fields for Image Verification
Neural Scaling Laws in Particle Jets
Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge
NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
Never Go Full Batch: Stochastic TMLE for Large-Scale Debiased Inference
Never Stop Learning: Test-Time Reinforcement Learning for Vision-Language-Action Models
Next-Token Prediction Enables Scalable Learning of Sleep Physiology
Noise-Level KL Rates for Multi-Marginal Schrödinger Bridge Surrogates
Noisy2Latent: Nonparametric Deconvolution and Denoising via Maximum Mean Discrepancy
Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
Non-Expanding Gated Continued Fraction Architecture for Feedforward Layers in Language Models
Nonlinear Direct Feedback Alignment for Scalable Backpropagation-Free Training
Normalized Friedkin–Johnsen Opinion Dynamics
Normalized SGD in the Convex Regime: First High-Probability Guarantees and Momentum Extension
Norm Anchors Make Model Edits Last
Not All Proofs Are Equal: Evaluating LLM Proof Quality Beyond Correctness
Not Every Image Teaches Vision: Visual-Necessity-Gated Continual Learning for Multimodal Large Language Models
Not Just Oversmoothing: Detecting Echo Chamber Effect in Graph Neural Networks
Nuwa: Evaluation-Grounded Agentic Construction of Time Series Forecasting Systems
Object Hallucination Mitigation in Large Vision-Language Models via Self-Vision Dual Masking and Uncertainty-Triggered Assembly
OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation
OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting
ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
Offline Materials Optimization with CliqueFlowmer
OmniSE: Support-Faithful Optimization for Evidence-Centric Audio-Video Reasoning
One Adapter For All: Towards Generalizable Many-To-One Domain Adaptation In Heterogeneous Collaborative Perception
One Step is Enough: Multi-Agent Reinforcement Learning Based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
Online Bayesian Recalibration of Brain–Computer Interfaces with Language Model Potentials
Online Minimum Description Length Passive-Aggressive Algorithms
Online Min-Max Optimization: From Individual Regrets to Cumulative Saddle Points
On the Convergence of Multicalibration Gradient Boosting
On the Depth of Monotone ReLU Neural Networks and ICNNs
On the Effect of Token Correlations on Semantic Transfer in Transformers
On the Faithfulness of Visual Thinking: Measurement and Enhancement
On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency
On the Price of Privacy for Language Identification and Generation
On the Relaxation of Conditional Independence Assumption for Image Segmentation
On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
OpenMHC: Accelerating the Science of Wearable Foundation Models
OpenView: Empowering MLLMs with Out-of-view VQA
OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in Policy Optimization
Optimal Ansatz-free Hamiltonian Learning In Situ
Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
Optimistic Q-value Adaptation for Offline-to-Online Reinforcement Learning
OrbitLoRA: Learning Rotation-Aware Low-Data Adaptation of Vision Foundation Models
OrchestraRL: Learning to Orchestrate LLM Agent Swarms with Entropy-Aware Communication Control
Orlicz–Sobolev with Musielak: An Efficient Regularization Approach for Graph-based IPM
Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
OTIS: Learning High-Quality Time Series Features With Tiny Encoders
OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
PACE: Phase-Aware Chunk Execution for Robot Policies with Action Chunking
PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
ParaLin: Accelerating Parallel Diffusion Integrator via Intrinsic Partially Linear Structure
Parameter Exploration for RLVR via Variational Learning
Parameterized Stripe Attention for Efficient Video Generation
ParetoM$^3$: Learning on the Pareto Set under Preference Guidance via Min-Max-Min Optimization
Pareto Preference Optimization for Structure- and Stability-Aware RNA Inverse Folding
PatchBench: Measuring Collateral Damage in Activation Patching
PATCH: Learnable Tile-Level Hybrid Sparsity for LLMs
PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language
Peer review should constrain evaluative authority
PercepCap: Video Captioner with Structured Spatio-Temporal Perception
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
PF-SGS: Pose-Free Streaming 3D Gaussian Splatting for Large-Scale Scene Reconstruction
PGGT-Loc: Primitive-Grounded Geometry Transformer for Feed-Forward Camera Localization
PGMS: Pyramidal Gaussian Mixture Splatting for 3DGS Compression
Phase-Adaptive Fusion: Spatio-Temporal Modulation for VLA Models
Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms
PhysEval.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models
PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation
PhysTC: A Physics-Enhanced Dataset and Architecture for High-Precision Tropical Cyclone Forecasting
PiCA: Pivot-Based Credit Assignment For Search Agentic Reinforcement Learning
PINNBench: A Benchmark and Evaluation Study of Training Policy Selection in Hybrid PINN-Operator Solvers
Pinpoint: Grounded Worldwide Image Geolocation via Cross-Source Retrieval and Reranking
PIS: Pose-Interpolation Smoothness for Skinning Weight Refinement
Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
PointForward: Feedforward Driving Reconstruction through Point-Aligned Representations
PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
POISE: Instance-Specific Prompt Tuning under Latent Mixture Target Distributions
PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
Political Neutrality as Balanced Approval: A Large-Scale Human Evaluation of AI Responses
POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models
Position: A Safe LLM and a Safe Harness Do Not Make a Safe Agent
Position: Life-Logging Video Streams Make the Privacy–Utility Trade-off Inevitable
Position: Robust Reasoning Requires Internal Time, Not Scale Alone
Position: Telic Errors Make VLMs Unreliable Annotators in Sensitive Contexts
Posterior Contraction Rates for sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
Posterior Sampling-based Online Learning for Episodic POMDPs
PPO in the Fisher-Rao geometry
Preconditioned Implicit Midpoint Langevin Sampling for Non-Smooth Bayesian Imaging
Predicting Human-Gain Curves under Local Proxy Optimization from Repeated Ratings
Prediction Under Imperfect Compression: A Theory of Approximate MDL
Preserving Geometric Symmetry in Uncertainty Estimation for Molecular Forces
Prevailing Bisimulation Metric Learning Is Biased: Implicit Regularization and Its Remedy
PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning
PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing
Privacy Meets Hierarchy: Differentially Private Distributed Trilevel Learning
Privately Clipping Heavy-Tailed Data
PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety
Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures
Probe-Guided Gradient Balancing for Multimodal Learning
Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Prototype Topology Consistency for Visible-Infrared Lifelong Person Re-Identification
Provable Selective Auto-labeling with Reliability Guarantees
ProxySearch: Decoupled Inference-Time Scaling for Diffusion Models via Asymmetric Noise-Rank Transfer
PULSE: A Synchronized Five-Modality Dataset for Sensorimotor Coordination in Long-Horizon Daily Activities
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
Quality-Diversity Optimization as Multi-Objective Optimization
Q-ViK: Question-Guided Visual KV Cache Eviction for Large Vision-Language Models
QWaveNet: Quantum-Enhanced Wavelet Network for Time Series Forecasting
RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
RADAR: Routing Agents via Difficulty-Aware Recovery
Random Attention Pattern Learning Enables Emergent Capabilities
Randomized Kriging Believer For Parallel Bayesian Optimization With Regret Bounds
RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation
RaVF: Learning Radar Velocity Fields via Spatial-Doppler Guidance
Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing
Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
Reasoning-Aware Relational Representation Learning for Open-Vocabulary Scene Graph Generation
Reasoning over Coupled Receptive Fields: Eliminating Subgraph Redundancy at Scale
Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space
Reasoning Warm-up: Scaling Label-free RL via Verifiable Surrogate Rewards
Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
Re:Cognize - A Framework For Open-Set Comic Character Re-Identification
Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
Reducing Credit Assignment Variance via Counterfactual Reasoning Paths
Reference-Guided Training: Adaptive Gradient Scaling via Per-Sample Loss Comparisons
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation
REFLEX: Reflective Evolution from LLM Experience
Reinforcement World Model Learning for LLM-based Agents
Reinforcing VLAs in Task-Agnostic World Models
Relation-Aware Graph Foundation Model
Replicas-as-Variables: A Planner for Throughput-Optimal Routing in LLM Deployment
Representation Forcing for Bottleneck-Free Unified Multimodal Models
ReSAM: Representation-Level Safety Margin Alignment for Vision–Language Models
Residual Calibration via Local Feature-Space Refinement
Resilient Latent Readouts for Long-Context Question Answering
ReST-RL: Reinforcing LLM Reasoning through Unified Self-Training and Value-Guided Search
Retain-Neutral Surrogates for Min-Max Unlearning
Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
Rethinking Credit Assignment in Cooperative MARL via Interventional Reward Response
Rethinking Cross-Layer Information Routing in Diffusion Transformer
Rethinking Diffusion Decoding via Structural Commitment
Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and Large Language Models
Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding
Rethinking Learning from Label Proportions via Moment Matching
Rethinking Personalized Generation: Test-time Alignment via Factorized Ranking Models
RETR: A Structure-Preserving RGB-Event Transformer for Robust 3D Lane Detection
Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs
Revisiting Autoregressive GCNs for Vehicle Routing Problems
Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation
Revisiting the Adam–SGD Gap Beyond Single Factors
Revisiting Value Iteration: Unified Analysis of Discounted and Average-Reward Cases
ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
RGF: Recursive Generative Framework for the Edge-Cut Separable Problems
Riemannian Optimization for Low-Rank Adaptation via Desingularization
RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
Risk-Aware Action Repetition via Expected Skip Evaluation
RoboExo: Structure-Guided Wrist-to-Exocentric Video Generation for Scalable Robot Learning
Robust Approximate Nearest Neighbor Search for Any Dataset
Robust Domain Generalization under Divergent Marginal and Conditional Distributions
RobustPruner: Decoupled Relevance and Uncertainty for Efficient Visual Token Pruning in MLLMs
ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
ROLLVERIFY: BRIDGING EFFICIENCY AND ACCURACY IN LONG-TAIL ROLLOUT REINFORCEMENT LEARNING
RPFQ-ViT: Rotated Phase-Frame Quantization for Extremely Low-Bit Weights in Vision Transformers
RTCBench: Evaluating Tool Use of Large Language Models Beyond Oracle Access
RUBRIC-MME: Real-User Behavior-grounded Rubric for Multimodal Interaction Capability Evaluation
RVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation
S²MoE: Shared-Subspace Mixture of Sparse Experts
Safe Actions Can Form Unsafe Traces: Benchmarking and Shielding Compositional Emergent Risk in AI Agents
SafeDrug: A Benchmark Dataset for Safety-Critical Pharmacological Reasoning in LLMs
SAGE: Semantic Ambiguity Guided Capacity Expansion for Retrieval-Augmented Generation
SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation
SAME: Stability-Aware Embedding Extraction in Mixture-of-Experts Language Models
Sample-Efficient Optimization over Generative Priors via Coarse Learnability
Sandboxed Coding Agents are Competitive Omni-modal Task Solvers
SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology
SC$^3$: A Multi-Solvent Solubility Challenge and Benchmark
Scaffold3D: SfM-Conditioned Pointmap Prediction for Multi-View 3D Reconstruction
Scalable Fair Learning via Cramér-von Mises Regularization
Scene-Adaptive VLA: Efficient Autonomous Driving via Dynamic Layer Routing
SchedDiff: Diffusion-Based Priority Refinement for Job Shop Scheduling
SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training
SeaPilot: Mobile Agent with Self-refining Environment Alignment
Search at the Cost of Sampling: Nearly-Instant Latent Space Bayesian Optimization
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization
S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation
Seeing the Unseen: Unified Visible–Invisible Motion for Physically Consistent Video Generation
SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search
Segment and Select: Vision-Language Segmentation in 3D Scenarios
Self-Calibrated GUI Reward Model via Inverse Dynamic Modeling
Self-Distilled RLVR
Semantic-level Exploration for Multi-Agent Reinforcement Learning
Semiparametric Efficient Tests for Interpretable Distributional Treatment Effects
SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents
SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark
Sequential Solution Concepts in Cooperative Games with Generalized Characteristic Functions
SETA: Scaling Environments for Terminal Agents
SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens
Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees
SICAF: Time-Varying Focus Bottleneck for Self-Supervised Event-Based Optical Flow with Spiking Neural Network
SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
Signature-Kernel Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
Simple Test-Time Refinement for Plot-to-Code Generation via Visual-Code Diagnostics
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
SkillCIR: Intent-Guided Skill Composition for Training-Free Composed Image Retrieval
SliMOO: Interpretable Multi-Objective Evolutionary Search for LLM Depth Pruning
Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots
SOAR: Semantic Organ-Aware Pretraining for 3D CT Image Understanding
Soft geometric inductive bias for object centric dynamics
Soft-Radial Projection for Constrained End-to-End Learning
Sparse All-Layer Connector for Domain Generalised Semantic Segmentation
Sparse Fine-Tuning for Parameter-Efficient Adversarial Training
Sparse Updates Generalize Better Than Optimization: Stability Analysis for Randomized Subspace Descent
SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing
Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests
SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo
SPECS: Faster Test-Time Scaling through Speculative Drafts and Dynamic Switching
Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers
Spike-SFT: Selective Parameter Enhancement and Fusion for Efficient Spiking Neural Networks
Sponsored Questions and How to Auction Them
SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows
SQUEEZE: Preserving Homeomorphism and Smooth in Higher-Dimensional Flows
SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction
SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation
SSD: Shell-Guided Spherical Diffusion for Molecular Geometry Generation
Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
Stability-Weighted Direction Regularization Disentangles Generator Shortcuts from Detection Signal
Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
Stable Partial Order Constraints for Temporal Causal Structure Learning
StaDy: Factorizing the World into Static and Dynamic via Likelihood Matching
Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation
StakeBench: Evaluating Language Understanding Grounded in Market Commitment
Static Recovery Is Not Dynamic Stability: Dynamics-Aware Benchmarking of Protein Motif Scaffolding
Statistical field theory for Markov decision processes under uncertainty
Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models
Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing
Steering Visual Generation in Unified Multimodal Models with Understanding Supervision
StepCAD: Mesh-to-CAD Code Generation via LLM Policy and Geometry-Guided Search
StereoSplat: Metric-Scale Novel View Synthesis via Stereo-Grounded Gaussian Splatting
Stop or Restart? Principled Inference Control for Large Reasoning Models via the Pandora's Box
StoSplat: Ray-Aligned Stochastic Preconditioning for Feed-Forward 3D Gaussian Splatting
Stranger Things: When Objects Appear Without Their Typical Neighbours
StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
Strategic Feature Selection and Regularization
StreamMind: Dynamic Streaming Cognition for Online Video Understanding
Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment
STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contexts
Strong Post-Training from Permissive, Reasoning-Dominant, Web-Scale Pretraining
Structural Self-Teaching for Compositional Generation in Unified Multimodal Models
Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
Structure-Semantic Guided Closed-Loop Medical Anomaly Detection via Multi-Agent Collaboration
SudoBench: A Contextual Authorization Benchmark for LLM Agents
SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework
Superplatforms Are Strategically Compelled to Counteract AI Agents
Sup-Norm Error under Proportional Asymptotics: Phase Transitions under Linear Regression
Surprises in Proper Positive-Only Learning
SurvCancel: A Longitudinal Dataset and Benchmark for Dynamic Order Cancellation Prediction in On-Demand Ride-Sharing Systems
Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL
SVDP: Training-Free Contextual Sparsity Predictors for Fast LLM Inference
Symplectic Normal Coordinates Flow for Generative Modeling of Hamiltonian Systems
Synaptic Strength Controls Trainability and Structural Stability in Rank-Deficient RNNs
SynMQG: Disentanglement and Mutual-Information Optimization for Synergistic Multi-modal Question Generation
T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals
Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems
TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees
TANGO: RNA Topology and Geometry Co-Design
Task-Aware KV Cache Compression for LLM Agents via Utility-Driven Step Pruning
Temporal Concentration from Rollout Errors: Implicit Preference Optimization For Text-to-Video Diffusion
Test-Time Adaptation via Self-Reinforced Optimal Transport for Zero-Shot OOD Detection with Vision–Language Models
Test-time Scaling of Diffusions with Flow Maps
Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson
Text as Partial Constraint: Core–Residual Alignment for Robust Vision–Language Learning
The Confusion is Real: GRAPHIC – A Network Science Approach to Confusion Matrices in Deep Learning
The Curse of Multiple Mediators: Hidden Interaction Effects in Activation Patching
The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection
The End Justifies the Mean: Linear Ranking Rules for Proportional Sequential Decisions
The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models
The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
The Heel of RLVR: Benchmark Glory Should Not Outpace Honest Measurement
The Narrative Gap: Can LLMs help us Navigate Diverse Narratives Across Languages?
The Optimization Prior: Instilling depth for shallow networks, detail for coarse networks
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
The Price of Choosing Examples: Context Overfitting in Adaptive In-Context Learning
The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL.
The Shape of a Program: Path Signatures for Trace-to-Program Induction
The Shape of Events: Edge-Based Inductive Biases via Cross-Domain Distillation
The Sparsity Whisperer
The Unreasonable Effectiveness of Text Embedding Interpolation for Continuous Image Steering
The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks
Think Before You Generate: Active Panoramic Exploration for Text-to-3D Scenes
Thinking with Images as Continuous Policy: Numerical Visual Chain-of-Thought
Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling
Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration
TILT: Target-induced loss tilting under covariate shift
TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra
Tio: Language Models with Parallel Streams of Thoughts, Inputs and Outputs
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals
TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
Tokenization and Architecture Jointly Allocate Component Roles in Time Series Transformers
TokenRepel: Generating Diverse Image Sets Without Sacrificing Quality
TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs
ToLD: Efficient Time Series Forecasting via Tokenized Truncated Latent Diffusion
Tool-Integrated Reasoning via Hierarchical Multi-Agent Reinforcement Learning
Topological Invariance and Breakdown in Learning Dynamics
Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction
TopoRefine: Plug-and-Play Topology-Aware Contour Refinement for Building Segmentation
Touch-R1: Reinforcing Touch Reasoning in MLLMs
Toward Multimodal Sheet Music Recognition and Understanding
Towards Anytime-Valid Statistical Watermarking
Towards a Unified Model for Flexible Job Shop Scheduling Problems
Towards Direct Evaluation of Harness Optimizers via Priority Ranking
Towards Financial World Modeling
Towards Generalizable Data Valuation: Learning an End-to-end Deep Model to Compute Shapley Values
Towards Identifiable Latent Additive Noise Models
Towards Multi-Human-Value Alignment via Value Localization in LLMs
Towards Optimal Pre-training Data Mixtures for Empowering Reinforcement Learning in LLMs
Towards Principled Task Grouping for Multi-Task Learning
Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation
Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling
TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
TRACE: Tourism Recommendation with Accountable Citation Evidence
Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models
Training ML Models with Predictable Failures
Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning
TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
Transferability for General Reasoning: An Automated Curriculum for Multi-Domain LLM RL
T-ReX: Learning Tile-Reuse Indexes for Structured Model Compression
TRIDENT: Post-Selection Evidence Accountability for Token-Efficient RAG
TrustFlow: Adaptive Trust Calibration for Language Model Guided Reinforcement Learning
Trust Region Q Adjoint Matching
TSNBench: Benchmarking LLM Proficiency in Time-Sensitive Networking
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Two Layers of Attention Stability: A Koopman-Operator Analysis of Linear and Softmax Attention
Two-Level Softmax Sampling Done Right: Correcting Bias from Size Imbalance and Dispersion
UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization
UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning
Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions
UltraVoxelGS: Voxel-First Feed-Forward Gaussian Splatting for 3D Ultrasound Reconstruction
U-MVP: Encode Locally, Decode Globally for Feed-Forward 3D Gaussian Splatting
Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models
Uncovering Hidden Propensities in Language Models via Limited-Parameter Finetuning
Understanding the Challenges in Iterative Generative Optimization with LLMs
UniDG: Universal Defect Generation via Defect-Context Editing
Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems
UniVer: A Unified Perspective for Multi-step and Multi-draft Speculative Decoding
Universal Cross-Prompt Adversarial Attacks on Promptable Concept Segmentation
UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation
Unlocking Accurate Geometry in 3DGS via Spatially Varying Affine Rectification
Unlocking LLM Creativity in Science through Analogical Reasoning
Unsupervised Unlearnable Segmentation via Semantic Structure Disruption
Unveiling the Value of Motion for Cinematic Camera Trajectories
User Embeddings are Superpositions of Interpretable Behavioral Modes
ValuSpec: Plug-and-Play Candidate Valuation before Target Verification for Tree-Based Speculative Decoding
Variational Active Flow Matching for Discrete Online Black-Box Optimization
VDE: Verifiable Dynamic Evaluation of Mathematical Reasoning via Typed Bipartite Graphs
Velocity-Space 3D Asset Editing
Verifiable LLM-Guided Focal SMT Solving for Quantified Arrays
Verification-Aware Training for Speculative Decoding
Verification-Guided Abstraction Generation with Large Language Models for Generalized Planning
Verifier Choice is a Benchmark Design Variable: Auditing Structural Counting Evaluation in Text-to-Image Models
VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems
VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corpora
VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing
ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution
Video Generation Research Needs a Legally Sustainable Data Infrastructure
VideoSailor: Navigating Video Deep Research via Trajectory-to-Policy Flywheel
VideoSleuth: A Narrative-Centric Agentic System with Video-Audio Native MLLM for Long-Form Video Understanding
VideoSTF: Stress-Testing Output Repetition in Video Large Language Models
Video Stitching from Multiple Moving Cameras
VidHalluDoctor: Learning Video Differences to Mitigate Hallucinations in Vision-Language Models
ViMU: Benchmarking Video Metaphorical Understanding
Virtual Head Attention
Virtual Task Prompting for Multi-Task Scene Understanding
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents
Vision Correlators: Correlation-Driven Visual Understanding with Hypergraphs
Visual Instruction Tuning Aligns Modalities through Abstraction
Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs
ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing
VLAN: Vision-Language Accessible Navigation
VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing
VSearcher: Long-Horizon Multimodal Search Agent via Reinforcement Learning
VSPO: Vector-Steered Policy Optimization for Controllable Model Behavior
VSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness
WaterDescatterGS: Diverse Underwater 3D Scene Reconstruction Using Gaussian Splatting
WATERFALL: Workflow for Adaptive Training with Evolutionary Reward Formulation and Automated Learning Loops
WavNAF: Learning Wave Propagation Priors for Neural Acoustic Fields
Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery
Weird Generalization from Narrow Finetuning: Persona Shifts and Inductive Backdoors
What Comes Next and Why: Interpretable Next-Event Prediction with Neuro-Symbolic Rules
What Do Audio Models Really Hear? Layer Selection and Mechanistic Structure in Sound Representations
What kills $v$-prediction? A Patch-wise PCA Perspective on Pixel-Space Flow Matching
What Probing Reveals about Autonomous Driving: Better Predictions Lead to Better Planning
What Stops SGD on LLM Pre-Training: The Need for Large Learning Rate and How to Achieve it
What Survival Benchmarks Don’t Tell You: Impact of Model Selection and Dataset Regimes
What to Perturb, How to Propagate: A Graph-Guided Transferable Attack on VLP Models
What to Remember, What to Reveal: Privacy-Aware Memory for Conversational Agents
When All Paths Lead to Dead End: Deadlock-Depth-guided Monte Carlo Tree Search for Reentrant Blocking Hybrid Flow Shops
When and How to Canonize: a Generalization Perspective
When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
When does the noise schedule matter? A spectral classification of diffusion training objectives
When evolution cheats: Frozen-weights Baselines reveal static-solvers interference in evolved plastic spiking neural networks
When Graph Structure Provably Helps Classification: Non-Asymptotic Recovery Guarantees
When is Warmstarting Effective for Scaling Language Models?
When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds
When Should Agents Remember? Falsification-Gated Self-Evolution for LLM Agents
When the Merge Coefficient Stops Mattering: Proximity Regularized Merging for Continual LoRA Adaptation
When the Most Disruptive Messages Are Safe to Prune in Aggregate: Functional Analysis of Communication Pruning in Two-Agent LLM Systems
Who Watches the Watchers? Semantically-Constrained Reinforcement Learning for Red-Teaming Provenance Intrusion Detectors
Why Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention
Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models
Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space
Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It
WILD: Widely Linear Conditioning for Time Series Forecasting
WordEval: Evaluating Word-Native Operation Fidelity in Document Editing
World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video
Worst-Case Regret Bounds for Combinatorial Bandits with Ranking Feedback
WovenAnchor Matcher: Specialized Intra- and Inter-Image Context Modeling for Feature Matching
xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs
Zero-Violation Regret for Cooperative Markov Games with Coupled Instantaneous Hard Constraints
ZNO: Stable Rational Neural Operators in the Z-Domain for Discrete-Time Dynamics
(ends 1:00 PM)
11 a.m.
Creative AI Session 1 [11:00-2:00]
s -
Cadence: Music-Responsive Stage Lighting in Concert Video Generation
____ Controls
COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
Creative Compression in LLM-Based Dramatic Character Interpretation
Da Capo
Dancing Ink Spirits: Negotiating Agency in Generative Chinese Ink Animation
Draw This First
Frictional Intelligence
Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts
Horror Vacui
MINT: Musical Intent Representation in Human–AI Co-Creation
Music-Originated Zeitgeist for Artistic Representation and Translation (MOZART): Distributed Agency in Music-to-Physical-Painting
PaintCopilot: Modeling Painting as Autonomous Artistic Continuation
Restored Lines: A Model Finds the Poet’s Hardest Line Breaks and Declines to Write Them
Shaping AI’s Beliefs Before It Generates: Human Sense of Agency in Creative AI
Story Sprout: A Picture-Book Studio Where Children Direct the AI and Keep the Pen
TextMixer: Writing via Sampling and Remixing
The Body at the Edge of the Signal: AI, Glitch, and Painting After the Machine
The Generative No and Sourced Refusal in Human-AI Co-Creation
Transcendent Contact: Expanding Creative Agency Through Hallucination
Water Album: A Built Negotiation of Agency from Ink Gesture to Public Space
What Can AI Offer as a Design Probe for Creativity? Reflections from Co-Designing a Creative Writing Tool
Whose Hand is on the Vinyl? Transcribing a DJ's Scratch Gestures from Video into a Playable Instrument
Δw ∈ ℝⁿ
(ends 2:00 PM)
noon
Break:
Retail Lunch
(ends 2:00 PM)
1:30 p.m.
Test Of Time:
Test of Time Award
(ends 2:00 PM)
Affinity Event:
Affinity Support Pilot Program
(ends 4:30 PM)
2 p.m.
Sydney Invited Talk:
Barbara Engelhardt
Barbara E Engelhardt
(ends 3:00 PM)
3 p.m.
Break:
Coffee
(ends 3:30 PM)
3:30 p.m.
Sydney Oral Session 1A [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 1B [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 1C [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 1D [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 1E [3:30-4:30]
(ends 4:30 PM)
4:30 p.m.
Creative AI Session 2 [4:30-7:30]
s -
Bodies in Dialogue: Exploring Perceived Agency through Embodied AI in Human-Robot Theatre
Effort
Give Me a Hand
glitch-ing bodies
Human Operator
Impossible Rooms
Inner Witness: A Closed-Loop Neuroadaptive Audiovisual Installation
In the Mix: AI Support for Live DJ Track Selection
KAAYA: The Body Draws What the Eye Never Sees
Light Language Objects: Ambiguity and Otherness in Embodied AI
Lose Yourself: Controlling the Model
LumiComposer: Negotiating Creative Control Between Illumination, Mapping, and Generative Music Models
Magic Quill: A Real-time Score Engraving System for Live MIDI Performances
Passing: An Endless Journey through Reconstructed Spacetime with AI-Generated Sound
Preference Without Assertion: Locating Aesthetic Agency in a Gaze-Driven Design System
Presence Is Not Placement: Auditing What Vibrato Metrics Measure
Pullim: Untangling the Knots within
Rope Flow Music: An Embodied Instrument that Sonifies a Movement Practice
Smell with Genji: Rediscovering Sensory Experience with an AI Co-Smelling Partner
Stellar Pathfinding
Structural and Representational Agency in LLM-Driven Timbre Generation and Interpolation
When Brain Signals Steer Generative AI: Agency Beyond Causal Influence
Windchime: an Audiovisual Installation with Audio-Language Model implementations
Wishstone: Negotiating Voice Agency Through a Tangible Generative Keepsake
(ends 7:30 PM)
5 p.m.
Break:
Coffee & Snacks
(ends 6:00 PM)
Talk:
Science Communication Training Session 1
(ends 6:00 PM)
Sydney Poster Session 2 [5:00-8:00]
Posters 5:00-8:00
$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
$\pi$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows
3A-VLA: Abstraction-Aligned Action Learning for Vision-Language Agents in 3D Game Worlds
3D Consistency Tokens
ABHBench: Evaluating Moral Decision-Making of Foundation Models from an Agentic Perspective
AbSpecAlign: Specificity Reward Alignment for Antigen-Conditioned Antibody Generation
Accelerating Diffusion Language Models via Structured Suffix Modeling
Accelerating Safe Reinforcement Learning with Massive Parallelism
A Compass for Useful Data: Online Data Selection via Alignment-Gated Fisher Geometry
AcousticBench: Measuring Acoustic Perception in Large Audio Language Models
ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning
AdaKVQ: Adaptive Mixed-Precision KV Cache Quantization For Efficient Reasoning Models
AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
Adapting Vision Transformers to Organoid Imaging
Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection
Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
Adaptive Multi-Frame Learning for Expressive and Stable Atomic Representations
Adaptive Random Forests from Online Learning and Testing by Betting
AdaWM: Few-Shot Adaptation of World Models to Unseen Dynamical Regimes
Addressable Memory for Video World Models
Addressing Exogenous Variability in Cooperative Multi-Agent Reinforcement Learning
A Diagnostic Benchmark for Layered Layout and Template-Variant Reasoning
ADKV: A Low-Overhead Adaptive Delta Quantization for KV Cache in LLM Inference
Advanced Routing as Regularization Allocation for Efficient Diffusion Transformer Training
Advectra: Asymmetric Latent Transport for Non-Stationary Physics
AEGIS: Adaptive Efficient Generative Inference Scheduling for Structured Latent Models
AegisFlow: Training-free Non-myopic Path-safe Guided Flow Matching
AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
AeroMosaic:Transport-Aware Multimodal Evidence Fusion for Atmospheric Pollution Risk Inference
AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition
A Frank-Wolfe Approach to Goldstein Stationarity
AgentHop: A Diagnostic Benchmark for Agentic Multi-Hop Scientific Question Answering
AgenTracer-v2: Agentic Failure Tracer for LLM Agentic Systems
AgentTailor: Dual-Gate LLM-Assisted Re-ranking for Personalized Long-Tail Recommendation
A Hebbian Recurrent Neural Network Explains the Hierarchical Geometry of Sequence Memory
AI Evaluation Should Require Standardized Item-Level Data Releases
AIM: Adaptive Interaction in Multi-Agent Debate for Multimodal LLM Inference
AIR: Rethinking Image-Text Offset Alignment in Multimodal Contrastive Representation Space
A Kernel Nonconformity Score for Multivariate Conformal Prediction
AKTD: FDR Control for LLM Training Data Detection under Approximate Exchangeability
ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models
A Latent World-Action Model with Jointly Aligned Reasoning
Align as You Couple: Learning Spatial Resolved Inference from H&E Images with Mollified Flow Matching
All-Addition Spiking Diffusion Models with Attention Enhancement
All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
ALTER: An Allen's Algebra-Based Evaluation Framework for Temporal Reasoning of LLMs
A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models
A Mechanistic Analysis of Looped Reasoning Language Models
A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds
Amortizing Generative Guidance for Model-Based Reinforcement Learning
AnalogToBi: Device-Level Analog Circuit Topology Generation via Bipartite Graph and Grammar Guided Decoding
An Analytical Model of Compute-limited Multistage Training Pipelines
Anatomy of Off-Policy Policy Gradient: Importance Sampling, KL Regularization, and Baselines
Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation
Anchored Protein Engineering
Anchoring Adversarial Trajectories to Data Manifolds: A Bilevel Transfer Optimization Framework
A Near-optimal SQ Lower Bound for Smoothed Agnostic Learning of Boolean Halfspaces
An Information-theoretic Framework for Auditing Unfairness in Training Data
Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive
AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
Approaching I/O-optimality for Approximate Attention
A Principled Optimal Transport Framework for Frame Selection in Long Video Understanding
AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting
ARCANA: A Benchmark for Abstraction and Analogical Reasoning
Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows
Are we really tilting? The mechanics of reward guidance in flow and diffusion models
ASAP: Assembly-Source Aligned Pseudocode Refinement For Binary Decompilation
ASAT: Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts
A Solver-Efficient Neural Adversarial Attack on Subgraph Matching Models
As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does
ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations
ASVQ: What Reparameterization Is Just Enough for Efficient Codebook Learning?
Asymmetric Scaling Laws from Sparse Features
Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy
Asynchronous Agentic Poisoning
A Theoretical Analysis of Backdoor Learning as Simplicity-Biased Optimization Dynamics
A Theoretical Framework for Self-Play Theorem Proving Algorithms
A Theory of Training Profit-Optimal LLMs
Atom-level Protein Representation Learning Improves Protein Structure Prediction
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Attention Heads are Complementary Visual Units: Mitigating Hallucinations in LVLMs via Adaptive Visual Cues Focusing
Auction-Based Online Policy Adaptation for Evolving Objectives
Auditing Single-Query Recoverability in Self-Supervised Representations
A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures
A Unified Audio Language Model with Text-Aligned Factorized Audio Tokenization
A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
A unified pairwise distribution matching framework for graph domain adaptation under structure shift
AutoformBot: Formalizing Mathematics at Scale
Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
Autonomous Scientific Discovery via Iterative Meta-Reflection
AuxGeoAgent: Synthesizing Challenging Geometry Proving Data via Planning and Symbolic Deduction
AWP: Activation-based Window Pruning for Gigapixel Object Detection
BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
Backdoor Attacks Rerouted: BatchNorm as a Sink for Adversarial Signals
Backdoor Attacks under Lossy Compression: From Failure to Reactivation and Adaptation
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks
BAL: Bidirectional Autoregression in Latent Space for Learning Human Movement Representations
Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery
BarrierSteer: LLM Safety via Learning Barrier Steering
BASIL-DCM: Biophysical Amortized Scalable Inference for Latent Dynamic Causal Modeling
Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision--Language Models
Bayesian Decision Making around Experts
Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators
BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems
BDC-Merge: Cross-Architecture Model Merging via Dependency Alignment
BECON: Belief-Conditioned Constrained Multi-Objective Reinforcement Learning under Drifting Preferences and Budgets
Behavioral Probes for Information Flow in LLM Swarms
Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback
Benchmark Health Index: A Systematic Framework for Benchmarking the Benchmarks of LLMs
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
Benchmarking and Optimizing Multimodal Structured Generation: The OracleGraph Dataset and PRISM Framework
Benchmark Shadows: How Data Regimes Shape Parameter Footprints and Generalization
Bentkus-type asymptotic e-values
Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
Beyond a Single Score: An Audit of Aesthetic Evaluation in Text-to-Image Pipelines Across Subcultural Visual Languages
Beyond Bit Matching: Orthogonal Watermarks for Collusion-Resistant Image Fingerprinting
Beyond Exemplar Selection: Value-Aware Memory Allocation in Replay-Based Continual Learning
Beyond Generation: Unlocking Discriminative Representations from Diffusion Models
Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness
Beyond ICA: Identifiability by Symmetry Breaking
Beyond Proxy Metrics: MLLM-Based Human Surrogate Evaluation for Explainable AI
Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL
Beyond Unidirectional: Unsupervised Trajectory Learning for Omnidirectional Controllable Underwater Image Enhancement
Bias-Variance Optimized Preference Optimization for Large Reasoning Models
Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
Bidirectional Sparse Attention for Faster Video Diffusion Training
Bigger Isn’t Better: Why the Indiscriminate Scaling of Foundation Models Can’t Solve Biology
BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
Boosting LLM Reasoning via Human-Inspired Reward Shaping
Bootstrapped Bipartite Actor-Critic for Diffusion RL
Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Trace
Brain2voice 2.0: High-performance voice synthesis brain-computer interface
BrainWhisperer: Leveraging Whisper for Speech Decoding in Neuroprosthetics
BRAVO: Bridge Matching for Autoregressive Video Generation
Breaking Curse of Dimensionality for Mutual Information Estimation with Vine Copulas
Breaking feature collapse in self-supervised time series encoder
BrickFlow: Connectivity-Guided Brick Reconstruction
Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
Bridging Image Restoration and Recognition via Causal Mediated Unrolling
Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding
CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth
CA-Judge: Teach Large Models to Judge Anomalies via Comparison for Video Anomaly Detection
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
Calibration Is Not Control: Intervention Advantage for LLM-Agent Oversight
CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
Can Complementary Signals Bridge Similarity Islands? Manifold-Augmented Graph Embedding for Multimodal Recommendation
CanvasMAR: Improving Masked Autoregressive Video Prediction With Canvas
Can VLMs Reason When to Stop for Human Safety?
Capacity-Constrained Online Convex Optimization with Delayed Feedback
Cauchy Scientific Networks: Loss–Architecture Alignment and Its Limit
Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach
Causally Structured Differential Network Modeling for Single-Cell Perturbation Prediction
CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
CCTimeBoost: Learning Time-Varying Relative Risk with Case-Control Boosted Trees
Certified Robust Interpretability via Concept-Space Stability under Interventional Proxies
Chain of Dual Structures in Transformer Attention
Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs
City-RAG: Stepping Into a City via Spatially-Grounded Video Generation
CitySTAR: Agent-Driven Structured and Topology-Aware Reasoning for Open-Vocabulary Urban 3D Grounding
Clarification as Supervision: Reinforcement Learning for Vision-Language Interfaces
Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization
Closed-Loop Alignment: Socially Coupled In-Context Learning and Relational Posterior Collapse
Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
Closing the Gap on the Sample Complexity of 1-Identification
Closing the Loop: Co-Evolving EM for Irregular Time Series Generation in Lifted Representations
Clustering-Free End-to-End Spoof Diarization with Encoder-Decoder Attractors
CoANeRV: Coordinate-Aware Token-Space Neural Video Representation
Coarsening Linear Non-Gaussian Causal Models with Cycles
CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting
CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation
Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
COHE: Auditing Non-Transitivity in Sample Difficulty Proxies for Vision Models
Colored Noise Diffusion Sampling
Combating Camouflage and Forgetting: Spatio-Temporal Dual Denoising for Money Laundering Detection
COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation
Comp$^2$VLM: A Hybrid Framework Combining Quantization and Lossless Compression for Efficient Vision-Language Models
Compact Representations of Impact-Based Fair-Ranking Policies
Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation
Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods
Computer Use at the Edge of the Statistical Precipice
Confidence-Calibrated Inference Expansion for Evaluator-Guided Test-Time Reasoning
Conformal Cache: Reliable Proxy-Discrepancy Caching for Fast Generative Inference
Conservatism Controllable Compositional Guidance for Offline Safe Reinforcement Learning
Conservative Pareto Set Amortization for Offline Multi-Objective Optimization
Constant Term Shrinkage for Federated Learning
Constrained Modulatory Reservoirs for Context-Dependent Computation
Constructive Neural Policies for the Quadratic Assignment Problem via Multi-Expert Imitation
Context as Low-Rank Weights: Bounded Parametric Dynamic Memory for Unbounded Context
Contour Monte Carlo: Sampling via Energy Level Sets
Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning
Co-optimization for Adaptive Conformal Prediction
COSMIO: A Benchmark for Cross-Survey Modality Imputation
Cost-Aware Learning
CounterStrike-1K: A Multi-Perspective Dataset of Professional Gameplay for World Modeling
CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
Cross-Domain Knowledge Separation and Positive Transmission for Noisy Domain Incremental Learning
Cross-Model Circuit Discovery
CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
CryptanalysisBench: Can LLMs do cryptanalysis?
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition
CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
CSO: Refining Robotic Policies via Skill Distribution Alignment and Skill-Grained Optimization
CTRL: Continual Test-Time Reinforcement Learning for Large Language Models
Cyclic Discrete Diffusion: A Novel Multi-Class Segmentation Refinement Technique
DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
DAGA: Dynamic Attention-Guided Adaptation for Self-Supervised Vision Transformers
Data Diversity Drives the Emergence of Symbolic Mechanisms Supporting Abstract Reasoning
Dataset Mismatch Matters in Group Relative Policy Optimization for Reinforcement Learning from Verifiable Rewards
DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
DDACOM: Dual-Decoupled Adaptive Communication for Multi-Agent Reinforcement Learning under Dynamic Networks
DDx-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs
Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
Decomposed Graded Verifier for Generative World Modeling
Decomposing Conformal Uncertainty: Calibration- and Instance-Driven Feature Attribution
Decomposing Earth Embeddings with Sparse Autoencoders
Decomposing SGD Dynamics in Neural Networks: Teacher-Induced Spikes and Variance Inflation
Deconstructing Multi-Task Active Learning: The Paradox of Gradient Conflict and Orthogonal Decomposition
Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance
Decoupling Action from Egocentric Observation for World Simulation
Decoupling Direction and Magnitude: Language-Steered Flow Matching for Super-Resolution in the Dark
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
DeformMaster: An Interactive Physics-Neural World Model for Deformable Objects from Videos
DegBins: Degradation-Driven Binning for Depth Super-Resolution
DeGlare: Self-Supervised Specular Removal for Industrial Metallic Surfaces via Multi-Illumination Priors
Denoising-Time Heterogeneity in VLA Action Generation: A Controlled Study via Step-Wise Expert
Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry
DETS: An Interval-Censored Evidential Sampling Framework for Cross-Domain Scientific Discovery
DexOPE: 6D Object Pose Estimation in Dexterous Manipulation
DiagSQL: A Diagnostic Validator for Text-to-SQL with Reward Allocation and Co-occurrence Shaping
DialBandit: Adaptive Sequential Search with Tunable Evaluation Fidelity
Dialect ASR based on Multi-View Pseudo-Parallel Augmentation and Noise-Robust Contrastive Learning
DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections
Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
DiffCap-RL: Differential QA Rewards for Dense Image and Video Captioning
Differentiable Learning of Lifted Action Schemas for Classical Planning
DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting
Diffusion Fine-Tuning: Iterative Refinement for Advanced Grounding with Diffusion Large Language Models
Diffusion-State Policy Optimization for Masked Diffusion Language Models
DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising
Discovering Programmatic Policies from Reinforcement Learning-Based Traffic Signal Controllers
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
Disentangling Optimization Geometry via Hierarchical Polar Adapters for Class-Incremental Learning
DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation
Distinguishing Performance From Competence in Evaluations of Humanlike Abstract Reasoning
DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning
Distribution-Adaptive Policy Optimization
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
Distributionally-Robust Policy Learning from Observational Data
DiversePlace: Diversity-Seeking Curriculum Reinforcement Learning for Macro Placement
DMax: Aggressive Parallel Decoding for dLLMs
dMoE: dLLMs with Learnable Block Experts
Does 1/2-Tsallis-INF Also Work Well for Best-Arm Identification?
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters
Does Your Large Language Model Have An Intuitive Sense of The Difficulty of A Question?
Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
Do You CARE to Generalize? Extracting Robust Concept Directions from LLMs
D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
DRAMA: Dissecting Attention Redundancy for Accelerating Multimodal Diffusion Large Language Models
Drift-Resistant Navigation World Model with Anchored Epipolar Guidance
DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
DSR-TSF: Spectrum-Driven Dynamic Routing for Efficient Long-Horizon Time Series Forecasting
DSSNet: Deep Spectral Structure Profiling Network for Traffic Flow Prediction
DSSP: Diffusion State Space Policy with Hierarchical Full-History Conditioning
Dual Feature-Relational Alignment for Transferable Targeted Attacks on MLLMs
Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards
DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Dynamic Causal Structure Discovery for Autoregressive Visual Generation
Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting
Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics
Dynamic Spectral Federated Graph-Level Clustering
DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models
DyPSI: Dynamic Physics Sensing via Joint Field and Sensor-Trajectory Generation
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
EDISCO: Equivariant Discrete Diffusion for Euclidean Combinatorial Optimization
EDITORS Know Your Style! Editing LoRA Subspaces for Stylistic Attribution and Imitation
Effect-Level Validation for Causal Discovery in Interactive Telemetry
Efficient Adjoint Matching for Fine-tuning Diffusion Models
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
Efficient Test-Time Adaptation For Robot Policies
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
EgoBabyVLM: Benchmarking cross-modal learning from naturalistic egocentric video data
EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
Emergent Steering Beyond Endpoint Alignment in Chemical Reaction Models
EMO: Pretraining Mixture of Experts for Emergent Modularity
EmpathyChat: Structured Cognitive Reasoning in Empathetic Spoken Dialogue
End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
EngramState: Loadable Tool Priors for Efficient Function Calling
Ensuring Deployment-Time Safety of Neural Network Controlled Systems via Localized Certificate Repair
Entangled Schrödinger Bridge Matching
EnvFaultBench: Benchmarking LLM Agents on Software Environment-Fault Troubleshooting
Epistemic Social Learning: Latent Behavioral Structure under Endogenous Multi-Agent Interaction
Epitope-Conditioned Nanobody CDR Design via Retrieval-Augmented Protein Language Models
Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning
EsoLang-Bench: Evaluating Large Language Models via Esoteric Programming Languages
Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models
Estimating Continuous Treatment Effects with Recourse Data
EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment
Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
Evaluating Uncertainty Calibration in Probabilistic Time Series Foundation Models
Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered
Event-Centric Perception in Weak-Signal Physical Streams with Multimodal LLMs
Every Measurement, Every Direction, All at Once: Multimodal Flow Matching for Molecules and Spectra
EviAttr-OW: Evidential Attribute Reasoning for Open World Object Detection
Evidence-RL: Towards Evidence-intensive Visual Reasoning
EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales
Exact Instance Compression for Convex Empirical Risk Minimization via Color Refinement
Exactness Matters for Physical Rule Enforcement
Exact power indices for plurality-voting ensembles
ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling
Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting
Explanation Mechanism Influences Human Reliance on Reinforcement Learning Agents
Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
ExpRFT: Exponential Reward-Weighted Fine-Tuning for Offline RL in Multi-Turn Dialogue
Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)
Extracting Training Data from Diffusion Language Models via Infilling
Facts Don't Speak Louder than Words: The Behavioral Essence of Long-CoT Distillation
Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
FASTER: Rethinking Real-Time Flow VLAs
Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
FAVLA: A Force-Adaptive Multi-Rate VLA model for Contact-Rich Robotic Manipulation
Feasible Policy Optimization for Safe Reinforcement Learning
Feature Recovery for Object Understanding Under Physical Transformation
FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning
FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning
Feed-Forward 3D Gaussian Splatting for High-Fidelity Animatable Hand Avatar Reconstruction from a Single Image
FerQ: Fermat Quotient Reformulation of High-Order Binary Optimization
FETTUCCINE: Fast and efficient brain-to-text decoding on mobile devices
Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
Filtered Conformal Ellipsoids for Graph-Native Time Series
FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
FlareReal: A Real-Captured Paired Dataset for Nighttime Lens Flare Removal
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs
FlashMol: High-Quality Molecule Generation in as Few as Four Steps
FlexCover: Flexible Cover Song Generation via Symbolic Lead Sheet Control
Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models
Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
Flowette: Flow Matching with Graphette Priors for Graph Generation
FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics
fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
FocusVLA: Hijacking Attention to Break Visual Token Pruning in Vision-Language-Action Models
FoldAbS: Repurposing the Protein Folding Model as a Foundation Encoder for Antibody Screening
Follow-Bench 2.0: An End-to-End 3D Benchmark for Socially-Aware Robot Person Following
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
Formal Conjectures: An Open and Evolving Benchmark for Verified Discovery in Mathematics
Foundation Model Informed Acquisition Functions for Molecular Discovery
Foundations of Categorical Equivariant Deep Learning
FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models
Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM Inference
FrameRouter: Frame Budget Routing for Long-Video Understanding on Video-MME-v2 and Beyond
Free Heavy-Tailed Lunch for Muon: A Theoretical Justification of Empirical Success
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
FreeSpec: Training-Free Long Video Generation via Singular-Spectrum Reconstruction
FreshMem: Brain-Inspired Frequency-Space Hybrid Memory for Streaming Video Understanding
Freshness-Gated Imagination: Step-Level Trust for Latent World Models
From Document Layout to Causal Topology: An End-to-End Architecture for Temporal Causal Reasoning
From Jumps to Signatures: a Generative Method for Temporal Point Processes
From Label Priors to Task Evidence: Long-Video Frame Selection via Bayesian GRPO
From Noise to Diversity: Random Embedding Injection in LLM Reasoning
From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
From Retrieval to Reasoning: Agentic Mechanism Prediction from Cell Painting Profiles
From Seeing to Foreseeing: Unleashing LVLM Thinking in Dynamic Latent Space
From Static Geometry to Dynamical Singularity: Detecting Memorization in Diffusion Models via Score Evolution
From Static Policies to Adaptive Priors in Offline Reinforcement Learning
From Weak Data to Strong Policy: Q-Targets Enable Provable In-Context Reinforcement Learning
FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale
Frozen Memory Is Not Enough: Rethinking External Memory as Extraction
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps
Fusion or Confusion? Multimodal Complexity Is Not All You Need
FutureSim: Replaying World Events to Evaluate Adaptive Agents
fxBench: Evaluating and Understanding Formula Suggestions in Spreadsheets
GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling
GEAR: Generator-Adaptive State Space Models for Associative Recall
GeLVR: Geometry-Consistent Latent Visual Reasoning in Multimodal LLMs
GEM: Interpretable Language Models via Geometric Embedding Alignment
Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems
Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
Generalized Influence Functions for Better Model Change Estimates
Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems
Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport
Gen-Searcher: Reinforcing Agentic Search for Image Generation
Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction
Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations
GOAT-AL: Pseudo Neural Collapse Guides Adaptive Coverage for All-Budget Active Learning
Gradient Regularized Newton Boosting Trees with Global Convergence
GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment
GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
Graph-Enhanced Attribute-Aware Modeling for Cloth-Changing Person Re-Identification
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs
Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
HACO: Hedged Agent Computing for Reliable LLM Systems
Hadamard Representation: Scaffolding Performance Across Model-free RL
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
HALMES: Knowing When to Intervene in LVLM Hallucination Mitigation
HandXFM: Semantic-Structural Distillation for Hand Radiograph Foundation Models
HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision
HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
HeterSEED: Semantics–Structure Decoupling for Heterogeneous Graph Learning under Heterophily
H-GenPO: Hierarchical Generative Policy Optimization via the Option-Critic Framework
Hidden Forgetting in Continual Multimodal Learning: When Accuracy Survives but Grounding Fails
HiddenPathQA: A Benchmark for Knowledge Graph Question Answering When Questions Hide Their Paths
Hidden Tails: Certifying Tail-Risk Claims under Selective Labels
HIDRA: Hierarchical Dual-Routing Attention for Replay-Free Lifelong Imitation Learning
HIFC-IQA: Train-Free Cross-Domain Image Quality Assessment via Dual-Process Cognition
Higher-Order Action Supervision Makes A Strong Policy Class
Historical Relative Policy Optimization for Bootstrapping LLM Reasoning
Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
How Data Augmentation Shapes Neural Representations
How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
How do Small Transformer Models Learn Hard Math Tasks?
How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape
How Private is Private? A Comparative Study for Face De-Identification
How Selection Shapes Diversity in LLM Ecosystems
How to make the most of your masked language model for protein engineering
How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction
Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating
HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding
Hyperbolic Concept Embedding Model for Interpretable Medical Image Diagnosis
Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry–Task Alignment
HyperFlow: Gradient-Free Test-Time Adaptation for Cross-Domain Few-Shot Classification
Hypergraph-guided Global Mean-field Negotiation For Multiview Evidential Classification
Hypergraph Modeling of Transformer Attention for Hallucination Detection
HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion
Identifiable Feedback-Controlled Latent Flow for Unpaired Single-cell Spatio-Temporal Dynamics
iDETR: Implicit DETR for Tiny Object Detection
Imagine, Don't Narrate: The Generative Bottleneck in World Models of Interaction Dynamics
Imitation Dominates Reinforcement: Direct In-Context RL Is Closer to ICL Than RL
Implicit Goal Conditioning via Value Disaggregation
Implicit Neural Representations for Variational Problems on Graphons
Improved State Mixing in Higher-order and Block Diagonal Linear Recurrent Networks
Improving Audit Realism with Inference-Time Compute and Deployment Scaffolds
Improving Quantized Zeroth-Order Optimization through Reconstructed Low-Rank Structures
Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
In-context Learning in Presence of Spurious Correlations
Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models
InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired Scoring
InfoNav: A Unified Value Framework Integrating Semantic Relevance and Information Gain for Zero-Shot Object Goal Navigation
Information bottleneck dynamics during learning across artificial and biological neural systems
Information Discernment in Large Language Models
Instance-Optimal Estimation with Multiple LLM Judges on a Budget
Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control
Integrating Background Knowledge for Scalable Causal Discovery
Integrating digital twins with randomized experiments
Interactive Combinatorial Reinforcement Learning for Knowledge Graph Reasoning
interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification
Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability
Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction
Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench
Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
Iterative ILP with Update-Size Control for Reducing Surrogate-Task Mismatch in Bit-Width Selection
Jump Start Your Policy Learning with Lessons from 145,000 Training Runs
Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
Kernel Value Regression in Offline Reinforcement Learning
KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
Knowing When Multivariate Forecasts Are Wrong
KnowVis: A Dual-View Benchmark for Diagnosing World-Knowledge Grounding in Text-to-Image Models
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching
Large Language Model Failures from Hallucination to Homogenization Are Different Facets of Miscalibration
Large Language Models as Graph Computational Solvers via Topology-aware Residual Attention
LaSA-Net: A Language-Guided Network for Outdoor Generalized 3D Referring Expression Segmentation
Latency-Conditioned Selection Bias in RLHF
Latent Introspection: Models Can Detect Prior Concept Injections
Latent Reasoning in Continuous Space for Unified Multimodal Models
Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
Layerwise LQR for Geometry-Aware Optimization of Deep Networks
LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
Learned Lagrangian Models of PDEs via Euler–Lagrange Residual Minimization
Learning Active Perception and Manipulation via Spatio-temporal Visual Memory
Learning Agentic Policy from Action Guidance
Learning-Augmented Streaming Algorithms for Approximating Boolean Max-CSPs
Learning Data-free Universal Adversarial Perturbation with Hybrid Priors and Gradient-Guided Sharpness Regularization
Learning from Disagreement: Multi-Teacher Distillation for Chinese Spelling Correction
Learning inexact alternating minimization
Learning Joint Semantic-Geometric Uncertainty for Structured Prediction with Closed-Loop Calibration
Learning Modular Addition with Auxiliary Modulus
Learning POMDP World Models from Observations with Language-Model Priors
Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding
Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
Learning to play with spikes. Characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing
Learning to Solve Compositional Geometry Routing Problems
Learning to Synergize Textual and Visual Prompts for Fine-Grained Traffic Element Detection in HD Maps
Learning When to Think: Dual-Reference Offline Optimization for Adaptive VLM Reasoning
Leveraging Dale’s Principle as an Inductive Bias in Recurrent Neural Networks
Leveraging Error Diversity in Group Rollouts for Reinforcement Learning
LG-Bench: A Graph-Structured Evaluation Benchmark for Life Science
LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models
Lift, See, Act: Hierarchical Robot Policy Pretraining with 3D Foundation Models
LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing
LIME: Link-based User-item Interaction Modeling with Decoupled XOR Attention for Efficient Test Time Scaling
LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
LLM Routing Through the Lens of Recommendation: A Roadmap for Efficient AI Orchestration
LLMs Keep Thinking When Told Not To
Local Gaussian Processes on Compact Lie Groups
Local–Global Sparse Autoencoders for Multiscale Interpretability in Vision Models
Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
Locking Pretrained Weights via Deep Low-Rank Residual Distillation
LOCO: Local Light-Aware Object Compositing with Spatially Varying Illumination-Augmented Data
Log-Averaged Mirror Prox for Fast, Large-Scale Optimal Transport in Linear Space
Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
LongSCOP: Semantically Consistent Long Video Outpainting
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning
Look-ahead Variational Flow for Generative Online Reinforcement Learning
Lookalike3D: Seeing Double in 3D
Look Before You Reason: Implicit Visual Thinking for Efficient Multimodal Reasoning
Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits
LookThere! Sparse Vision by Reinforced Selection
LoopNav: Benchmarking Spatial Consistency in World Models
LoopPrune: Evolutionary Module Selection with Iterative Execution for Efficient Large Language Model Compression
LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution
M$^2$E-UAV: A Benchmark and Analysis for Onboard Motion-on-Motion Event-Based Tiny UAV Detection
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
M$^\star$: Every Task Deserves Its Own Memory Harness
Machine Unlearning in Low-Dimensional Feature Subspace
MANGO:Multi-Angle Neural Gated Operators for Chirp-Perturbed PDEs
Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking
Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction
Manifold Random Features
Mark, Don't Erase: Token Inoculation for Dual-Use Knowledge in LLMs
MASTARS: Multi-Agent Sequential Trajectory Augmentation with Return-Conditioned Subgoals
Matrix Recovery Via Symmetric Rank-one Measurements With Random Unit-modulus Vectors
MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
Mean-Field Parallel Decoding for Discrete Diffusion Language Models
Mean Testing under Truncation beyond Gaussian
Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit
Mechanism-Level Chemical Reaction Simulation with Electron Bookkeeping Transformer
Mechanistic Interpretability Needs Philosophy
MedCache: Training-Free Spatially Aware Caching for Accelerated Medical Video Generation
MedHEB: Benchmarking Medical Embeddings Across Heterogeneous Clinical Evidence
Median-of-Means under Structured Heavy-Tailed Noise: High-Probability Bounds for Clipped Stochastic Optimization
MemContract: Contract-Sensitive Evaluation for Mutable Agent Memory
Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation
Mental Imagery That Matters: Curing Latent Collapse in Multimodal Reasoning
Meta Inverse Prompting for Video Generative Models
Mimicking the Physicist's Eye: A VLM-centric Approach for Physics Formula Discovery
MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
MinMax Recurrent Neural Cascades
Mirror Descent-Ascent for mean-field min-max problems
Mitigating Retaliatory Algorithmic Collusion in Repeated Games
Mixture of Activations: Token-Adaptive Mixing for Expressive Feedforward Layers
Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models
MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models
MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
MobileWan: Closing the Quality Gap for Mobile Video Diffusion
Modality-Depth Routing for Visual Reasoning in VLM Post-Training
Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning
Modeling the Vividness of Imagined Natural Scenes Reveals a Model-Common Image-Level Component in Vision Models
Modulating Merging Strengths via Joint Loss Estimation for LoRA-based Continual Learning
Moment-Constrained Latent Steering for Flow Policy
Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics
MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction
MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI
Most ReLU Networks Admit Identifiable Parameters
MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing
mRNABench: A curated benchmark for mature mRNA property and function prediction
MSAR: Next-Scale Autoregressive Forecasting for Time Series via Modular Multi-Scale Decoupling
Multi-Agent Coordination via Support-Preserving Distillation
Multi-Constrained Randomized Smoothing Certificates
Multi-Nonsmooth-Nonconvex-Objective Optimization
Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
MUX: Continuous Reasoning via Multiplexed Tokens
MVPISplat: Multi-View Photometric Inconsistency for Defending 3D Gaussian Splatting Attacks
My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization
NAGO: Noise-Aware Generative Operator via Flow Matching
Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions
NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation
Need-Aware Multi-Objective Reinforcement Learning for Emotionally Intelligent LLM Agents
Negation Neglect: When models fail to learn negations in training
Negative-Only Policy Optimization for One-Sided Verifiable Rewards
Neighbor-Aware Snapshot-Based Temporal Graph Learning
Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Model
NEST: Nascent Encoded Steganographic Thoughts
NestRL: A Nested Training Regime for Mutual Adaptation in Human–AI Teaming
Network Intervention by Polling Strategic Agents
Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
Neural Neural Scaling Laws
Neural population tuning statistics as priors for multitask generalization
Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
Neural Signals Generate Clinical Notes in the Wild
Neuronal Identity as an Organizational Basis for Analyzing Neural Population Dynamics
NEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual Selectivity
New Coresets for Fair Clustering
NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning
No Model Required: Text Entropy Rate Filtering Prevents Iterative Fine-Tuning Collapse
Nonparametric In-Context Learning under Growing Geometric Complexity: Minimax Optimality and Local Geometry-Adaptivity of Transformers
Not All Layers Are Equal in Image-to-Video Transfer
Not All Low-Confidence Tokens Are Equal: Calibrated Confidence for Efficient Test-Time Reasoning
Not All Noise Is Harmful: Towards Perception Aware and Controllable RAW Image Joint Denoising and Demosaicing
Not All Routing Drift Is Harmful: Trust-Region Projection for Class-Incremental Learning
Not All Slots Are Equal: Non-Co-Progressive Markov Bridge for Bundle Construction
Nüwa.RNA: An RNA Foundation Model for Unified Representation with Deep Structure Infusion
Object Detection Benchmarks are Incomplete: The Role of Label Errors and Annotation Uncertainty
ObsConDA: Observability-Constrained Data Assimilation with Control-Space Inference
Occupancy-based Quantile Risk Control
OfficeInstruct: A Dataset for Tool-Augmented Office Agents on Long-Trajectory Generative Tasks
Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark
Off-policy Learning with Excursion Policies
OliO: ODE-based Linear Transition Operator for Self-Supervised Time Series Forecasting
Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamic Mechanisms and Efficient Alignment
On Communication-Efficient Training of Ensembles in Federated Learning
On Differential Private $\ell_1$, $\ell_2$ and $\ell_p^p$ Distance Queries
One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning
ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration
On Generalization in Bilevel Optimization with Overparameterized Models
On JEPA Isotropy
Online Decision-Focused Learning under Semi-Bandit Feedback
Online Directional Regression for Streaming Sufficient Dimension Reduction
On Reparameterizing the Score Function
On the Burden of Achieving Fairness in Conformal Prediction
On the Convergence of Success Conditioning for Policy Optimization
On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing
OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories
OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents
OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
Optimal Rates for Differentially Private Hypothesis Testing with E-values
Optimal Risk Bounds of Stochastic Gradient Descent for Shallow ReLU Networks
Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise
ORCA: Orthogonal Residual Consensus Alignment for Multi-View Clustering
Ordered Policy Optimization
Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
Overcoming the Resolution Limit: Significance-Aware Regularization for Intersectional Fairness
Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
PARI: Policy-Driven Active Residual Intervention for Weakly Supervised Point Cloud Segmentation
Partially Performative Prediction
Past, Future, All at Once: Breaking Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
Patch Hierarchical Attention Transformers for Efficient Particle Jet Tagging
Path-Guided Flow Matching for Dataset Distillation
Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
PDF-HR: Pose Distance Fields for Humanoid Robots
Performance-Driven Policy Optimization for Speculative Decoding with Adaptive Windowing
Permutation-Invariant Spectral Learning via Dyson Diffusion
Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation
Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-Horizon Agents
PersonaManifold: Revealing and Exploiting Curved Geometry in LLM Persona Representations
Persona-Model Collapse in Emergent Misalignment
Per-Starting-Point Plausibility and Diversity Bounds for Score-Based Diffusion Models
Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy
PhaseDance: Capturing Rhythm and Expressivity in Dance Modeling
PHOEBI: An Open-World Benchmark for Multi-Label Bacterial Identification in Phase-Contrast Microscopy
PhysAgentGym: Free Physical-Law Verifiers for Training Small Code-Reasoning Agents
PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
PhysEval: Quantifying the Gap Between Video Generation and World Physical Laws
PhysFlow: Physics-Intrinsic Velocity Regularization for Motion-Intensive Video Generation
Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment
Platonic Task Arithmetic
Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction
Pluralistic AI Alignment Requires Inference-Time Multi-Objective Control
Point4D: Long-range 4D Motion Reconstruction
Point Clustering Encoders
Pointillism: Probing-Based Model Compatibility for Robust Collaborative Machine Learning
Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases
Positional versus Symbolic Attention Heads: Learning Dynamics, RoPE Geometry, and Length Generalization
Position-aware eXplanation: A Model-Agnostic Framework for Positional Attributions
Position: Machine Learning Conferences Should Introduce an Autonomous Research Track
Position: Neurosymbolic AI is a strong technical foundation for trustworthy, deployable AI by design
Position: Next-Generation Game Engines Should Be Built on Interactive Generative Video
PRECISE: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
Precision-Aware Hopfield Retrieval: Unifying Population Codes and Memory Retrieval with Information Optimization
Precision-Pyramid: Towards real-time neural decoding for fault-tolerant quantum computing
PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents
Predicting the Needle in a Petabyte Scale Haystack: Open-Vocabulary Event Anticipation in Satellite Imagery
Prediction-Augmented Trees for Reliable Statistical Inference
Predictively-Oriented Kalman Filtering
Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation
Pretext Reasoning: Scaling the Building Blocks of Interleaved Multimodal Reasoning
Pretraining Data Statistics Shape the Phases of Learning Entity Comparison in Language Models
Primal-Dual Representation Learning for Low-Rank Constrained MDPs
Prior-Anchored Local Statistical Representation Rectification for Low-Light Image Enhancement
PRISMIC: Reconstructing User Preference via Intent Decomposition and Consolidation
PRISM: Phenotype-Resolved Inference in Single-Cell Mixed Models via Latent Disease States and Contextualized Differential Expression
PRISM: Priority-Guided Scanning in the Wavelet Domain for UAV Maritime Small Object Detection
PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization
Privacy Risk Scales with Effective Dimension in Federated Learning
PrivateSeal: Low-Sensitivity Latent Directions for Diffusion-Resilient User-Specific Watermarking
ProactBench: Beyond What The User Asked For
Probabilistic Recursive Reasoning
Probing the Trajectories of Reasoning Traces in Large Language Models
Problem-Dependent Dynamic Regret over a Predictor Class with One-Gradient Feedback
probly: Uncertainty-Aware Machine Learning
ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts
ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
Progressive Residual Warmup for Language Model Pretraining
Prompt Optimization Makes Misalignment Legible
Prompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble
ProPolar: Progressive Polar Decomposition for Implicit Neural Representations
ProtoVis-Nav: Prototypical Visual Imagination for Visual-Spatial Aligned UAV Navigation
Provable Explanations for Any-Order Neural Additive Models
Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy
Pruning and Distilling Mixture-of-Experts into Dense Language Models
PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
Publishing Below-Threshold Triangle Counts under Local Weight Differential Privacy
PULSE: Probabilistic Uncertainty-Aware Longitudinal Simulation for EHR Trajectories
Punctuation-aware Hybrid Trainable Sparse Attention for Large Language Models
QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
Quantifying and Optimizing Path Uncertainty in Masked Diffusion Models
Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise
Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
Query as a Resource: Activity-Cost Guided Remote Sensing Domain-Incremental Object Detection
QUEST: Q-Learning for Uncertainty-Guided Efficient Search Teams
RA-ClipScore: Making Generative Model Evaluation More Interpretable
RAG in a Trenchcoat: When Minimal Memory Is Enough for Agentic Systems, and When It Isn’t
RankVQ: Low-Rank Parameterized Commutative Vector Quantization for KV Cache Compression
RAOP: Step-Level Resource Orchestration for LLM Agents across Edge and Cloud
RAWild: Toward Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modeling
Raw-Routed Mixture of Adapters: A Causal Intervention for Routing Collapse in Time Series Foundation Models
RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
REACT: A Lightweight Reliability-Aware Framework for Spatio-Temporal Out-of-Distribution Prediction
RealDev-QA: Trajectory-Level Diagnosis for Developer RAG Under Real-World Noises
Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
RECAP: Looking Once Is Not Enough for Vision-Language Reasoning
Reconciling Safety and Performance via Dual-Expert Offline Imitation Learning
ReCon: Toward Balanced Learning under Inter-Context and Context-Memory Conflicts
Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing
Recursive Multi-Agent Systems
REDACTED-Tunes: An Open 1.4M-Track Dataset and Perceptual Benchmark for AI-Generated Music
Re-evaluating Continual Learning with Few-Shot Adaptation
Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning
Reflection with Action-Induced Visual Differences for Desktop GUI Agents
REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
Reformulate LLM Reinforcement Learning for Stable Training under Black-box Discrepancy
Reinforcement Learning from Rich Feedback with Distributional DAgger
Relaxation-Aligned State Control for Test-Time Scaling in Generative Combinatorial Optimization
RelGS: Relation-Aware Gaussian Splatting for Open-Vocabulary 3D Scene Understanding
ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
Remembering What Matters: From Markovian to Subtask-Causal Memory in VLA Policies
Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation
Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation
RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models
Reranking with Intra-modal Visual Association for Text-to-Image Person Re-Identification
ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling
Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
Rethinking Gradient Approximation in Quantization: A Zeroth-Order Expectation Perspective
Rethinking Memorization–Generalization Trade-Off in Generative Models
Rethinking Molecular Graph Backdoors under Chemistry-aware Admission
Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection
Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
Return to Basics: Very Simple Graph Contrastive Learning via Noise Cancellation Principle
Revisiting Activation Steering Through an Optimization Lens
Revisiting Decentralized Online Convex Optimization with Compressed Communication
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
Richer or More Gates? Fan-In Trade-offs in Learnable Logic Circuits
Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization
RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
Right Results, Wrong Reasons: Auditing Behavioral Reliance in Motion Forecasting
RipBench: A Unified Benchmark for Multi-Level Rip Current Detection, Classification and Segmentation
Ripple in Still Water: Zero-Shot Clustering in Heterogeneous Federated Learning with Wavelet Scattering Transform
Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
Robust and Efficient Backdoor Mitigation for ML Models via Tolerant Property Testing
Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
Robust Statistical Estimators with Bounded Empirical Sensitivity
Robust Stream Classification using Time Neutralising Decision Trees
RoLL: Robust Low-Rank Learning via Nesterov Momentum
Root Cause Analysis of Measurement and Mechanistic Anomalies
Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory Straightness
ROSE: Risk-Aware Orthogonal Subspace Navigation for Lifelong Knowledge Editing in Multimodal Large Language Models
Rosetta: Composable Native Multimodal Pretraining
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
Routeability Before Routing: Routeability Audit Protocol (RAP) and RouteabilityBench for Audited LLM Model Selection
RxDiff: Discrete Diffusion for Medication Recommendation with Inference-Time Safety Control
S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields
S3Former: Sequential, Structural, and Statistical Fusion for Continuous-Time Dynamic Graphs
SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering
SAFE-FEC: Semantically Constrained Adversarial Frontier Evolution for Factual Error Correction
SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents
SALT: When More Rollouts Don’t Help in Group-Based Policy Optimization and How to Make Them Matter
Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging
Sampling Is Not Curiosity: Why LLM Agents Should Investigate
SCALECUA : Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL
Scaling Laws for Multimodal Data Mixtures
Scaling Optimization-Oriented Hypernetworks for Implicit Neural Representations
Scaling Point-in-Time Language Models: Economic Evaluation of Embeddings
SciResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks
SDHilb: Schrödinger Dynamics-Guided Neural Network with Adaptive Multi-Scale Hilbert Transform for Time Series Forecasting
SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation
SearchV: Evolutionary Fine-Grained Visual-Token Skipping for Efficient Vision-Language Models
Second-Order Complexity of Neural ODE Inference
Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning
Seeing Both the Forest and the Trees: Reusing Holistic 3D Priors for Part-Decomposed Generation
Seeing the World through Any Eyes
Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
Selective Answering for Medical VQA via Parallel Independent Claim Verification
Selective Safety Steering via Value-Filtered Decoding
Self-Adjoint Flow Policy Optimization
Self-Cleaning Diffusion Models
Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery
Self-Supervised Reconstruction Knockoffs for Calibrated Unsupervised Feature Selection
Semantic-Bridge Federated Learning: Bridging CLIP Semantics for Heterogeneous FL
Semantic Consistency of Vision Tokens: A Vision-Centric Perspective on Multimodal Large Language Models
SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences
SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
SF-DST: Adapting Vision-Language Models for Anomaly Detection via Asymmetric Modulation and A-LoRA
SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws
ShadowFPT: Backdooring Federated Prompt Tuning via Shadow Triggers
Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
ShopGym: An Integrated Framework for Realistic Simulation and Scalable Benchmarking of E-Commerce Web Agents
SIGMA: A Sigmoid-Gated Sampler for Test-Time Scaling in Diffusion Language Models
SignalBench: Comparing Dense Feedback Methods for Long-Horizon Agents
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
Signed-Permutation Coordinate Transport for RMSNorm Transformers
SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity
Simple Projection-Free Algorithm for Contextual Recommendation with Logarithmic Regret and Robustness
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
Simultaneous Individual, Group and Multigroup Fairness in Set Covering Problems
SimVLA: Attributing Gains in VLA Models Through Controlled Ablation
Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
SitCom: Scaling Egocentric Multi-Party Spoken Dialogue for Situated Communication Assistance
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
SMART: Scalable Multi-Agent Role-conditioned Teaming via LLM-free Tree Search
Smooth Partial Lotteries for Stable Randomized Selection
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining
Sobolev Regularized MMD Gradient Flow
SODA: Selective Optimization with Deferred BN Alignment for Efficient Dataset Distillation
Sophon: A Procedural Diagnostic for Spatial Reasoning in Vision-Language Models
SpaG-DiT: Enhancing Spatial Grounding for Diffusion Transformers
SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
Spark: Path-Aware Experiential Self-Evolution for VLMs Spatiotemporal Reasoning
Sparse blind deconvolution via thresholded Wirtinger flow
Sparsely Wired Mortal LLM Inference
Sparsity for Free: A Budget-Induced Equilibrium in Joint Topology–Parameter Search
SpatialBench: Is Your Spatial Foundation Model an All-Round Player
SpatialVAM: Spatial-Aware Multi-View Video Diffusion as a Data-Efficient Robot Policy
Speak Early: Speculative Speech Generation for Low-Latency SpeechLLMs
SpecBridge: Learning Natural-Language Formalization Plans for the Formal Specification Synthesis Task
Spectral Energy Allocation Enables Source-Free Domain Adaptation in Time Series Forecasting
Spectral Progressive Diffusion for Efficient Image and Video Generation
Spectral Unlearning: Transformer Structure-Preserving Updates for Language Model
SPEXT: A Decoupled Multi-Spectral Foundation Model for Earth Observation and Vision-Language Grounding
SPHQuant: Efficient extreme low bit weight quantization for Vision-Language Models
Spikes as Detectors: Phase-Conditioned Spiking Dynamics for Time-Series Anomaly Detection
SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers
SPRM: From Cooperative Games to Marginal-Contribution Process Reward Modeling
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping
Stable3R: Streaming 3D Reconstruction with Stable Geometric References
StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video
Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models
StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns
Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
StateLedger: Path-Addressed External Memory for Persistent Multi-Agent Systems
Static-to-Dynamic: Animating Still Mattes via Generative Motion for Video Matting
STDec: Spatio-Temporal Stability Guided Decoding for dLLMs
Stealth Apart, Harm Together: Skill Cascading Attacks on Skill-Based Agent Systems
Steering Optimisation Trajectories in Diffusion Representation Learning
Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
StreamOV: Streaming Omni-Video Understanding via Evidence-Guided Memory and Response Triggering
StructBridge: Structure-Grounded 3D Indoor Object Generation via 3D Latent Diffusion Bridge and Normal Refinement
StyleRoute: Diffusion Style Transfer via Regional Routing and Conflict-aware Projection
Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation
Susceptibilities for Neural Networks Learning from Physical Data
SwiftFlow: An Efficient One-Step Policy Learning via Improved Mean Flow for Robotic Manipulation
SynGS: Synergistic Continual Learning and Change Detection with Gaussian Splatting
SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
SynTeX-FL: Cross-Modal Text Transfer in Federated Learning for Medical Visual Question Answering
T3-S2S: Training-free Triplet Tuning for Sketch to Scene Generation
TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition
TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
Tail Cues, Principal Corrections: Plug-and-Play Rectification for Open-Set Test-Time Adaptation
TailDiff: Elicitable Tail-Guided Diffusion for Risk-Sensitive Generation
TasteBench: multimodal benchmark for sensory prediction, from molecules to sustainable foods
Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies
Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher
Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models
Temporal Smoothness Constraints on Efficient Neurobiological Codes Imply Temporal Specialization
TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection
Testable and Actionable Calibration for Full Swap Regret
Test Time Search Requires Training for Diversity
Test time training enhances in-context learning of nonlinear functions
Text-side fragility in contrastive vision-language retrieval
TF-PRVR: Training-Free Partially Relevant Video Retrieval for Real-World Generalization
The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets
The Commit-Abstain Circuit: Why Language Models Hallucinate Instead of Abstaining
The Cost of Symmetry: Universality and Hardness for Permutation-Invariant Neural Networks
The Illusion of Multi-Agent Advantage
The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
The Locality Cost of Semantic Patch Self-Distillation
The Minimax Rate of Online Isotonic Regression on Product Orders
The Quiet Prompt: Erasing Ineffable Styles from Diffusion Models via Concept Leakage-aware Negative Guidance
The Reciprocity Gradient
The road reaches every place, the short cut only one: Self-Adversarial Shortcut Mitigation for AI-Generated Image Detection
The Spectral Amplitude Principle for Dynamics of Quantum Neural Networks
The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
The Web Doesn't Sit Still: Adversarial Self-Evolving Attacks on Search Agents
Thinking with Imitation: Adaptive Reinforcement-Imitation Learning for Tool-Augmented Scientific Reasoning
Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance
Thompson Sampling using Prior-fitted Diffusion Transformers
Tight Gap-Dependent Regret Bounds and Problem-Independent Bounds for Cost-aware Cascading Bandits
ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning
TopoRefine: Topology-Aware Correspondence and Residual Refinement for Training-Free Subject-Consistent Generation
To Think or Not to Think: Pre-Decisional Reasoning Budgets for Referring Audio-Visual Segmentation
Toward a theory of Evaluability
Toward Better Geometric Representations for Molecule Generative Models
Toward Interactive Understanding of Code APIs
Toward Minimal-dimensional Convex Calibrated Surrogate Losses for Classification with Rejection
Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning
Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
TRACE: Trajectory-Aware Conceps for Explainable Video Understanding
TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking
TrackTok: Object-Centric Video Tokenization with Semantically Persistent Tokens
Traffic STGNNs across Sensor, City, and Time Shifts: Routing Concentration Tracks Sensitivity to Sensor Dropout
Training Deliberative Monitors for Black-Box Scheming Detection
Training-Free 3D Editing via Feature-Divergence Localization and Trajectory Correction
Training-free Spatially Grounded Geometric Shape Encoding
Training Optimal Large Diffusion Language Models
Training Vision Transformers to Focus: Emergence of Attention Head Specialization
Trajectory-Consistent Diffusion Policies for Offline Reinforcement Learning
Transition-Aware Credit Assignment in Agentic Learning for LLM Reasoning
TransMem: Transition-Aware Retrieval for Evolving Personal Memory
Transporting Quantiles to Codebook: Scalable Vector Quantization without Codebook Collapse
Treat Domain-Specific Languages as Design Variables in LLM Agents
TreeWalker: Partial Evaluation for Grouped Tree-Ensemble Inference
TriTD: Tri-Partite Trajectory–Distribution Distillation for Real-Time Autoregressive Video Generation
TrustMod-SM: A Multi-Axis Benchmark for Evaluating Trustworthiness of LLMs in Social Media Content Moderation
TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning
TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting
TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention
TwinPrune: Density-Aware Two-Phase Token Pruning for Vision-Language Models
Two-Clustering Regime of Token Dynamics in Causal Attention
Two Phase Rapid Simulation Based Inference with Differentiable Simulators
UGM: Unified Multi-scale Genomic Event Modeling with Site-level Joint Prediction
U-MOF: Uncertainty-Guided Parameter-Efficient Multi-Objective Fine-Tuning for Long-Tailed Recognition
Uncertainty-Aware Fuzzy Graph Contrastive Learning
Uncertainty-Aware Listwise Reinforcement Fine-Tuning for Fine-Grained Visual Classification
Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
Understanding Generalization through Decision Pattern Shift
Understanding Goal Generalisation in Sequential Reinforcement Learning
UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
UNICOM: Unified Multimodal Modeling via Compressed Continuous Semantic Representations
Unified Approach for Weakly Supervised Multicalibration
Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis
UniSHARP: Universal Sharp Monocular View Synthesis
Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
Universal Time Series Generation with Neural Controlled Differential Equations
Unleashing the Power of Intrinsic-Entropy-Driven Exploration for Off-Policy Generative RL
Unlocking Any-Order Generation in Pretrained Autoregressive Image Models
URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment
USAD: Uncertainty-aware Statistical Adversarial Detection
Utility-Driven Clustered Federated Learning via Class-wise Interaction Attribution
V2VFusion: Text-Controlled Video-to-Video Diffusion for Degradation-Aware Video Fusion
Values Are Not Single Labels: Distributional Value Profiling Across Groups and Contexts
Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
Variance-Averse n-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments
V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models
VC-OPD: Visual Counterfactual On-Policy Distillation for Grounded Vision-Language Reasoning
VERITAS: Veracity-Enhanced Robust Identification of LLM-generated Text Against Style-shifts
VESPO: Variational Sequence-level Soft Policy Optimization for Off-Policy LLM Training
VESTA: Visual Exploration with Statistical Tool Agents
ViCoR: Estimating Visual Necessity via Counterfactual Residuals for Multimodal Medical Data Selection
VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
Video-FLAIR: Not Whether to Reason, But How
ViDiC: Video Difference Captioning
VISD: Enhancing Video Reasoning via Structured Self-Distillation
VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries
Visual Anchoring for Scenario-Guided Forecasting
Visual Grounding First, Multimodal In-context Learning Follows
VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models
VUM: Visual Unified Models for Image Generation and Perception
VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment
Wayfinder: Adaptive Resource Routing from Agent Citations
Weakly Supervised Concept Learning for Interpreting and Attributing LVLM Predictions
WebSpatial: A Benchmarking Framework of Spatial Intelligence via Web-based Runtime Environments
What Claims Do LLM Benchmark Scores Support?
When Alignment Fails: Stabilizing Cross-Dynamics RL with Prototype Trust Regions
When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA
When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective
When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $\ell_1$-norm Lower Bounds
When a Window Is Not an Action: Selective Phase-Script Deliberation for Sliding-Window Human Activity Recognition
When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
When Does Flow Matching Help Deterministic Multimodal Prediction: A Spatial Transcriptomics Study
When Does Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
When Do Learned State Representations Break Sensitivity Analysis?
When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
When LLM Routers Overpay: Strong-Model Over-Selection under Loose Budgets
When Poison Meets Structure: Topology-based Defense against Poisoning Attack on Graph-based Retrieval-Augmented Generation
When Prompt Internalization Breaks: Continuous Experience Internalization in Large Language Models
Where Are MLLMs Looking When They Hallucinate? Mitigating Visual Hallucination via Gaze Steering
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition
Where to Connect? Boosting MLLMs via Dynamic Gated Pathways across ALL ViT and LLM Layers
Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs
Why Copy Others? Insights into Social Learning from Multi-Agent Reinforcement Learning
Why Deterministic PRM Guidance Underperforms in Discrete Diffusion Reasoning
Why Heavy-Tailed Weights Predict Model Quality
Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
Words Before Pixels: Selective Modality Routing for Vision-Language Model Unlearning
WorldForge: Forging Unified World Modeling into Video Generation
World–Value–Action Model: Implicit Planning for Vision–Language–Action Systems
WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
WsiSSM: A Weakly Supervised Subset-Matching Framework for Unified Classification and Segmentation of Histopathology Whole Slide Images
WURI: Watching Unfolding Risk in Agent Interactions
You CAN Teach an Old Model New Tricks: Domain Adaptation via Complementary Subspace Expansion
Your Teacher Can’t Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation
ZeoBench: A Benchmark for Self-Supervised Learning on 3D Zeolite Representations
Zero-Shot Coordination among LLM Agents
Zero-Shot Instruction Following in RL via Structured LTL Representations
(ends 8:00 PM)
7 p.m.

WED 9 DEC
8:30 a.m.
Break:
Coffee
(ends 9:00 AM)
9 a.m.
Sydney Invited Talk:
The Better AIngels of our Future
Satinder Singh
(ends 10:00 AM)
10 a.m.
Break:
Coffee & Snacks
(ends 10:30 AM)
Sydney Poster Session 3 [10:00-1:00]
Posters 10:00-1:00
$\mathrm{Bounded\mbox{-}RS}$: A Bounded Evaluation Protocol and Testbed for Representational Systematicity
$R^3$: 3D Reconstruction via Relative Regression
$\textbf{EchMo}$: End-to-End Radar Echo Segmentation
$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
3D Molecule Generation from Rigid Motifs via $\mathrm{SE}(3)$ Flows
A2I: Adjacency-to-Image Structural Encodings for Graph Learning
AcceleGrad#: Adaptive Geometry-Aware Acceleration
Accelerated Image Editing via Consistency-Aware Source Token Pruning
Accelerating Neural Network Training with Augmented Koopman Dynamics
Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
A Cross-Interaction Neural Architecture for Submodular Functions
Active Learning From Positive and Unlabeled Examples
Active Memory Feedback Loop for Fast–Slow Dynamics in Liquid Neural Networks
AdaptFlow: State-Anchored Goal Conditioning with Flow Matching for Offline Goal-Conditioned RL
Adaptive Communication Range for Scalable Cooperative Multi-Agent Reinforcement Learning
Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits
Adaptive Gated Simplicial Propagation for Node Classification in Multimodal Graphs
Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
AdaTree: Serving-Aware Adaptive Tree Construction for Speculative Decoding
Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options
A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
Agentic Abstention: Do Agents Know When to Stop Instead of Act?
Agentic Multi-Turn Reasoning: A Fairness Approach
Agentic Neural Architecture Search
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
AgentWeave: Efficient Distributed Agent Serving via Flow Decomposition
AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning
AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
Align Before Aggregation: Basis-Consistent Federated LoRA under Heterogeneous Ranks
Aligning Flow Map Policies with Optimal $Q$-Guidance
ALIGN-Rec: Continual Recommendation under Heterogeneous Unlearning Requests
AlloGen: Conformation-Selective Binder Design with Differential State Scoring
A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions
A mathematical theory of balancing relational generalization and memorization
A Matter of Interest: Understanding Interestingness Judgments of Math Problems in Humans and Language Models
A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems
Amortized-Precision Quantization for Early-Exit Vision Transformers
Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models
Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models
ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark
Anchoring Physiological Invariance, Expanding Domain Plasticity: Prior-Stabilized Dynamic Adaptation for Continual rPPG Measurement
AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion
A New Perspective on Target-Conditioned Structural Dynamics for Link Prediction in Dynamic Graphs
Announced Breaks Separate Conformal Reliability from Frequency Calibration
Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer
Anytime-Valid Conformal Risk Control
Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Approximate Memory Suffices for Universal Approximation with State Space Models
Approximation in Contrastive Representation Learning
AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
Archimedean Copula Inference via Taylor-Mode AD
Are LLM Safety Judges Policy-Invariant? A Three-Principle Stress-Test
Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
ARK: A Dual-Axis Multimodal Retrieval Benchmark along Reasoning and Knowledge
A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
Asking the Right Questions: Improving Reasoning with Generated Stepping Stones
AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
Assessing Sample Quality in Conditional Generation under Compositional Shift
Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
Attack-Inference Aligned Universal Adversarial Attacks on Video Object Segmentation
Attention Alignment Between Humans and Vision-Language Models
Attention-Based Sampler for Diffusion Language Models
Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers
Attributions All the Way Down? The Metagame of Interpretability
Auditing Correlated Failures in Frozen-Feature Pretrained-Encoder Pools for Medical Segmentation
Auditing Privacy Leakage in Tabular Foundation Model Embeddings
Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges
Augmented Lagrangian Predictive Coding
A Unified Framework for Adversary-Aware Differential Privacy Bounds
A Unifying Perspective on Language Model Interpretability
Autonomous Continual Learning for Environment Adaptation of Computer-Use Agents
AVID: A 5T fMRI Dataset for Benchmarking Auditory-induced Visual Mental Imagery Decoding
AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression
Avoiding Obfuscation with Prover-Estimator Debate
Balanced Multi-Task Learning from an Optimality-Gap Perspective
BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods
BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
Before Words, Beyond Speech: Evaluating Nonverbal Social Reasoning in Early Childhood
Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence
Below the Reliability Floor: Recovering True Success from Judge-Gated Loops
Benchmark for Assessing Olfactory Perception of Large Language Models
Benchmarking Optimizers for Large Language Model Pretraining
Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models
Best-of-$N$ Guidance for Test-time Diffusion Alignment
Better Language Models Require Better Domain-Specific Inductive Biases
Beyond Coordinates: Encoding Graph Structure via Contextual Distribution and Relational Similarity
Beyond Correctness: Robustness-Driven Evolutionary Self-Training for Large Language Models
Beyond Data Scaling: Representation-Centric Pre-training for Vision-Language-Action Models
Beyond difficulties: Insights for provably efficient design of autocurriculum in RLVR
Beyond Downstream Scores: Controlled Diagnostics for Point-Cloud Self-Supervised Learning Evaluation
Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark
Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs
Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
Beyond Global Alignment: Structured Compositional Reasoning for Vision-Language Models
Beyond High and Low: Evaluating Graded Cognitive Diversity in LLM Persona Simulations
Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
Beyond Outcome Rewards: Process-Aware Optimization for Search Agents
Beyond Pairwise Supervision: Spectral Characteristic Matching for Data-Efficient Multimodal Alignment
Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
Beyond Prediction: Steering VLM Agents with Retrospective World Modeling
Beyond Real or Fake: A Dual-Channel Authenticity and Reasoning Protocol for Photographic Assessment
Beyond Row Alignment: Virtual-Camera-Aware Online Stereo Rectification
Beyond Semantic Alignment: Geometric Incomparability in Multi-Oracle Soft Fusion
Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
Beyond Spatial-Domain Supervision: A Relation Constrained Space for Multi-Modal Image Fusion
Beyond Structural Agnosticism: Stable-Rank-Guided LoRA for Structure-Aware Fine-Tuning
Beyond the Node Barrier: Zero-Shot Strategy Planning for LLM Training on Super-Nodes
Beyond Token Representations: Explicit Visual Object Grounding for Video Reasoning Segmentation
Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
BiasTrojan: LLM Judgers Are Easily Distorted by Few Hundreds of Contrastive Biased Training Data
Binding Mode Matters: Hotspot-Aware Drug Discovery via Explorative Preferences
Biomedical Acquisition-induced Style Shifts as Mixture Shifts: Style-aware Mixture-of-Experts Multimodal Prompt Learning
Birth-Death Structural Learning for 3D Gaussian Splatting
Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
Block Optimism for Nonstationary Bandits with Latent Linear Dynamics
Block Sparse Flash Attention
Blur Issue Matters for Thermal Novel View Synthesis: A Floating Gaussian Suppression Approach
BoardGameArena: A Multi-Dimensional Benchmark for Strategic Reasoning of LLMs in Board Games
Boosting Graph Contrastive Learning via Manifold-Guided Representation Disentanglement
Bounds on Extrapolation across Phase Transitions with Generalized Regression
BoxTuning: Object-Aware Visual Prompting for Multimodal Model Fine-Tuning
Brain Economy-Aligned Graph Transformers
Breaking Information Islands in Sparse Tuning via Small-World Connectivity
Breaking Noise Shortcuts in Self-Supervised Learning via Noise-Aligned View Generation
Breaking the Static: Dynamic Text Conditioning for Diverse Image Generation
Bridging Safety and Performance in Autonomous Systems using Offline Reinforcement Learning
Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation
Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining
Brittlebench: Quantifying LLM robustness via prompt sensitivity
ByteDistill: Cross-Tokenizer Distillation via Chunk-wise Byte-Level Distribution Alignment
C2FT: Enhancing Fine-Grained Perception in MLLMs via Confuse-then-Contrast Fine-Tuning
Can 4D Foundation Models Remember?
Can AI Agents Synthesize Scientific Conclusions?
Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
Can LLMs Reliably Grade Olympiad Proofs? A Controlled Study of Mathematical Verification with LLMs
Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios
Causal discovery needs explicit epistemic standards
Causal-Geo: Neuro-Symbolic Spatial Grounding for Situated Agent Planning
Causal heteroscedastic structure learning from incomplete temporal data
Certification from Examples is Hard for Circuits and Transformers under Minimal Overparametrization
ChainForge: Tool-Chain Hijacking Attacks against LLM Agents via Execution-Grounded Tool Synthesis
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machine
Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification
ChildPose: Foundation for Children Pose Modeling
CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination
Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions
CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
Clapping: Removing Per-sample Storage for Pipeline Parallel Learning with Communication Compression
Class-Incremental Learning via LoRA-based Elastic Ensemble of Experts
Claude Coke: Prevent Automated Crime by Agents
Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation
ClusterSplat: Semantic Cluster Selection for 3D Visual Grounding in Gaussian Splatting
Coarse-to-Fine Autoregression over Hierarchical Discrete Codes for Molecular Graph Generation
Co-evolution: A "One-to-many" LLM Fine-Tuning Paradigm
Coherence-Aware Transition-Intent Fusion for LTL Planning under Uncertain Semantic Maps
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models
CoLVR: Enhancing Exploratory Latent Visual Reasoning via Contrastive Optimization
Combating Data Laundering in LLM Training
Communication-Efficient Federated Learning of Latent Patient Representations from Multi-Institutional EHRs
Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection
Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning
Complexity-Aware LoRA Aggregation for Modality-Heterogeneous Federated Person Re-identification
Component-Based Out-of-Distribution Detection
ComPose: When to Trust Hands for Object Pose Tracking
Compose Your Oracles: Off Policy Improvement with Aggregated Guidance
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
Concept-Based Mechanistic Interpretability Needs a Concrete Evaluation Paradigm
Conclusions from Circuit Extraction Depend on the Level of Description: A Controlled Comparison
Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates
Conflict-Suppressed RAG: A Simple Decoding-Time Framework for Faithful Retrieval-Augmented Generation
ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations
Constrained Factorization with Diagonal Scaling: Rank-Revealing Training and Pruning
Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
Contact Geometry for Generative Models: An Unbalanced Optimal Transport Formulation
Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties
Context-Aware Generative Imputation for Robust Multimodal Learning in Missing Modality Scenarios
Continually Evolving Skill Knowledge in Vision Language Action Model
Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
Contrastive Retrieval Heads for Improved Attention-Based Reranking
Contribution-Aware Structured Sparsity for Model Merging
Control-Augmented Autoregressive Diffusion for Data Assimilation
Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design
CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
CORAL: Learning Amyloid Fibril Ligand Docking with Cooperative Binding Rewards
CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization
CoRE-RL: Co-evolving Reasoning Trajectories and Evidence Subgraphs with Learned Evidence Projection
Correct, Route, Calibrate: Efficient Preference Optimization from Noisy, Heterogeneous Human Feedback
Correspondence Pruning by Iterative Structural Rectification
Counting without Scale: Scale-Consistent Error Correction for Crowd Counting
CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation
CRESiST: Self-Enhancing Exploritive Policy Learning for Simultaneous Speech Translation
Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations
Cross-Foundation Complementary Learning Systems for Continual Test-Time Adaptation in Open-Vocabulary Semantic Segmentation
Crossing the Validation crisis: Cross-validation reduces benchmarking variance surprisingly well
Cross-Model Transfer Attacks against Large Vision-Language Models via Model Diversity Enrichment and Stochastic Parameter Sampling
Cross-Question Reliable Reinforcement Learning
CSBench: A Comprehensive Benchmark for Evaluating Project-Level System Construction in Computer Science
DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving
DASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy Alignment
DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
Decide Before You Record: Heterogeneity-Guided Pre-Acquisition Stimulus Selection for Cross-Day Neuroprostheses
Decomposing and Reshaping Scaling Laws through Token Learning Times
Decomposing Effects in Neural Causal Models
Decomposing how prompting steers behavior
Decomposing Temporal and Job-Induced Dynamics for Probabilistic Computing Workload Forecasting via Graph-Conditioned Dual-Branch Diffusion
Decoupled Optimization for Teacher-Student Semi-Supervised Learning via a Pioneer Student
Decoupling Label Shift and Surrogate Gradient Errors for Robust Federated Spiking Neural Networks
DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders
Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
Deep Learning-based Algebraic Reynolds Stress Closures for RANS simulations of Turbulent Flows
Deferred Aggregation in Hierarchical Bayesian Optimization
Deformable 2D Gaussian Splatting
Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model
Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability.
DexMirror: Real-to-Sim Scene Mirroring for Sim-to-Real Dexterous Manipulation
DIAGNO: Diagonal Spherical Neural Operators for Heterogeneous Earth Dynamics Modeling
DIAL: A Bounded-Monotone Adapter with Closed-Form Residual $L_\infty$ Bounds for Scalar-Controlled Refusal Modulation
Differentiable Cluster Discovery in Temporal Graphs
Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models
Diffusion Guidance Is a Controllable Policy Improvement Operator
Diffusion Path Samplers via Sequential Monte Carlo
Diffusion-warm sampling of the XY model enables fast thermalization at scale
DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models
Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees
Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision
Directional Noise Conditioning for Diffusion Models
Discovering Structurally Plausible and Interpretable Cognitive Models with Large Language Models
Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling
Disentangling Homophilic and Heterophilic Patterns for Multi-Domain Graph Foundation Models
Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities
Distance Marching for Generative Modeling
Distilling Conditional Image Generators into Spatial Effect Maps
Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
Distributionally Robust Black Box Optimization-based Bidding Strategy in Auction-based Federated Learning
Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules
Distribution Matching Distillation without Fake Score Network
DN-Flow: Driver–Navigator Structured Flow Matching for Mixed-Type Tabular Data Generation
Does Inference-Time Reasoning Really Improve Video Understanding?
Does the Question Really Matter? Training-Free Data Selection for Vision-Language SFT
DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
DrawingsDreamer: A Unified Multi-View Engineering Drawings Generation Model
Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts
Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework
DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
DT-PBO: an Interpretable Tree-based Surrogate Model for Preferential Bayesian Optimization
DualDrift: Combining Forward and Reverse Drifts for One-Step Generative Modeling
Dynamic Convolutions Improve Transformers
Dynamic Model Merging Made Slim
Dynamic Physical Adversarial LED Patterns via Reinforcement Learning
Dynamic Resolution Routing for Efficient Egocentric Grounding
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
EAT: Eviction-Aware Training for Long-Context LLM Inference on Edge Devices
ECG Dataset with Multi-Expert Annotations and Delineations
Echo-SAM: Zero-Shot Learning of Unseen Structures via Medical Knowledge Graph Grounding
EDEN: Emergent Dynamics in Evolutionary Neural-networks for Robust Continuous Control
Edge of Stability Selectively Shapes Learning Across the Data Distribution
EditBridge: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
Editing Large Language Models with Geometry-Aware Regularization
Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
Effective Knowledge Conflict Detection via Joint Agentic Optimization
Efficient and Accurate Zero Shot Generation of Symmetric Protein Complexes
Efficient Benchmarking Is Just Feature Selection and Multiple Regression
Efficient bias mitigation in T2I diffusion models using Concept Graphs
Efficient Evaluation of LLM Performance with Statistical Guarantees
Efficient Forecasting of Task Failures in LLM Agents through Adaptive Fault Injection
Efficient Learning of Truncated Boolean Product Distributions: Influence to the Rescue
Efficient Off-Policy RL for Video Generation via Forward-Consistent Reward Matching
Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention
Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
EgoTac: In-the-wild Tactile Prediction from Egocentric Vision
EIHMR: Collaborative Human-Camera Estimation for Global Human Mesh Recovery
Eliciting Zero-Shot Named Entity Recognition in Large Language Models via Instruction Semantic Elaboration
Embeddings for Preferences, Not Semantics
Emergence of Physical Intelligence via Controllable Information Production
Emergent representations of graphical structure in mechanistic neural models of causal judgment
Emotion-Trained Vision Models Do Not Necessarily Learn EEG-Aligned Facial Dynamics
Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
Encoding RNA Topology into Synthetic Alignments for 3D Structure Prediction
End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems
Energy-Based Operator Learning in Function Space
ENGINE: Endogenous Variational MultiScale Optimization for Zeroth-Order LLM Fine-Tuning
Enhancing Gaze Reasoning in Vision Foundation Models for Gaze Following
EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models
Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
Environment-Robust Representation Learning with Empirical Bayes
EP-Flow: Disordered Crystal Structure Prediction without Site-level Annotation
EpiStream: Utility-Aware Temporal Abstraction for Dense-Action Streams
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Equivariant Spherical Transformer for Efficient Molecular Modeling
Escape the Context Manifold: Preventing DiT In-Context Editing via Conditional Flow Hijacking
ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning
Estimating Implicit Regularization in Deep Learning
Euler-Mamba: Learning Resolution-Invariant State Evolution on Polar Manifolds for Asymmetric Pansharpening
EvalAwareBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints
Evolutionary foraging in grids: Intermittent search emerges as an optimal strategy
Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics
Expanding Flow Maps
Expanding LLM Agent Boundaries with Strategy-Guided Exploration
Expanding the Role of Diffusion Models for Robust Classifier Training
Explanation Multiplicity in SHAP: Characterization and Assessment
Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous Driving
Exploiting Negative Multi-Cluster Structure in Class-Wise Embeddings for Weakly Supervised Multi-Label Learning
Exploring the Limits of Compositional Generalization in Vision-Language-Action Manipulation
Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning
Extraneous Cognitive Load in Large Language Models
F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
FACETS: Cross-Granularity Vision--Language Modeling for 3D Anomaly Detection
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
Failure-Band Authorization for Filtered Retrieval
Failure Profiling and Reachable Trajectory Selection for Reasoning Distillation
FalconPerception-HD: High Density Perception via Reinforcement Learning
Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
Fast Algorithms for the Label Propagation Operator on Signed Graphs
Fast and Consistent Structure Learning in Graphical Models via Approximate Cross-Validation
FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
Faster Dynamic Graph Clustering with Hierarchical Graph Contraction
Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction
Fast-WAM: Do World Action Models Need Test-time Future Imagination?
Federated Concept-Based Models: Interpretable models with distributed supervision
Federated Unlearning with Gradient Adaptive Shaping
FedIBS: Federated Vision-Language Adaptation via Intrinsic Bias Selection
FedSOUL: Federated Continual Unlearning via Spectral Orthogonality
Feedforward Novel View Synthesis for Heterogeneous Cameras
FENet: Functional Embedding Neural Network for Change-Point Detection in Functional Time Series
Few-shot Task Learning via Compositional Concept Inference
Few-Shot Visual Concept Extraction for Steering Diffusion Transformers
Few-Step Cofolding with All-Atom Flow Maps
FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation
Fisher-Glass: Tail Sample Complexity from Nuisance-Projected Fisher Information
Fixed-Point Reasoning: Stable and Adaptive Deep Looped Models
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
FLARE: Full-Modality Long-Video Audiovisual Retrieval Benchmark with User-Simulated Queries
Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models
FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
FLoRA-Chef: Making A Good LoRA Recipe in Federated Generalization
Flow Equivariant State Space Model
FlowLeak: Coverage-Guided Extraction of Dynamic Workflows in LLM-Based Multi-Agent Systems
Flow Matching from Viewpoint of Proximal Operators
FlowMoP: Stochastic Multi-Person Motion Prediction
FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution
fNIRSAtlas: A Large-Scale Benchmark for Functional Near-Infrared Spectroscopy Classification
Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
Focusable Monocular Depth Estimation
Follow the Regularized Leader Does Not Converge in Constrained Optimization
Forecasting Microbial Dynamics: Evaluation Protocol and Prior-Spectrum Benchmark
FoundSurface: Feedforward Ray-Based 3D Scene Surface Reconstruction from Unposed Images
FrameSelect: A Unified Library for Video Frame Selection and Evaluation
FRInGe: Distribution-Space Integrated Gradients with Fisher–Rao Geometry
From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce
From Finding to Linking: Benchmarking and Advancing Cross-Long-Video Reasoning for Multimodal LLMs
From Generation to Restoration: Residual Diffusion for Neural Channel Decoding
From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
From Matching to Reasoning: Query-Aware Long Video Summarization
From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs
From Post-Hoc to Ante-Hoc: Consistently Explainable Semi-Supervised Time Series Classification
From “Weak” Signals to Strong Models: Preference Delta Aggregation with LoRA Merging
Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages
FTerViT: Fully Ternary Vision Transformer
Full-Duplex Speech-Motion Model for Dyadic Interaction
Full Fine-Tuning Is Not the Problem: Why Adam Fails and SGD Succeeds in Few-Shot CLIP Adaptation
FuncFormer: Circuit Representation Learning via the Flow of Functional Propagation
Functional Gradient Descent with Adaptive Representations
G2Fusion: Geometric-to-Generative Image Fusion via Registration-Restoration Evolution
GADMVP: Adaptive Few-Shot Graph-Level Anomaly Detection with Multi-View Structured Prompting
GaitLingo: Self-Supervised Gait Representation Learning with Language Priors
GAMMA: Scalable 4D Gaussian Reconstruction Model for Novel View Synthesis of Monocular Videos
GauGal: Gaussian-Galerkin Electromagnetic Inverse Scattering Imaging
GEAR: Bridging the Planner-Actor Gap via Gradient-Aligned Policy Extraction
GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
Generating Physically Consistent Molecules with Energy-Based Models
GenRec: Knowing Where to Reconstruct and Where to Generate
GeoMamba: Geometry-Aware State Space Modeling for Image Restoration
Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs
Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning
GeoPano: Towards Geometrically Accurate Panoramic 3D Reconstruction from a Single Panorama
GeoWorld: A Geometry-First World Model for Reconstruction and Imagination
GGQR: Gaussian-Grounded Query Refinement for Feed-Forward 4D Gaussian Splatting
Git Context Controller: Manage the Context of Agents by Agentic Git
GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
Global Importance Estimation for KV Cache Eviction
GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models
Gradient-Free Editing for Attribute Invariance in Graph Neural Networks
Graph Learning from Label Proportions using Topology-Aware Pseudo Labeling and Aggregation
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems
Graph-Regularized Sparse Autoencoders for LLM Safety Steering
Grassmannian Geodesic Steering: Rank-Preserving Subspace Control for Inference-Time Alignment of Language Models
Ground False: Uncovering Errors in Formal Mathematics Benchmarks
GUARD: Scalable Gradient-based Unlearning with Adversarial Robustness Defense
Guidance For Prior Change via Density Ratio Estimation
Gym-Anything: Turn Any Software into an Agent Environment
Halt Fast! Early Stopping for Certified Robustness
Harbor Adapters and Harbor-Mix: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Harmless in Pieces, Harmful in Motion: Detecting Multi-Agent Jailbreaks
Harnessing Image Diffusion Prior for Photo-Realistic Video Restoration
HDL-RepoBench: Multi-Paradigm Repository-Level Code Completion for Hardware Design Languages
Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking
Hide to Guide: Learning via Semantic Masking
Hierarchical Adaptive Frame Sampling For Video Understanding
HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models
High-arity Sample Compression
High-Dimensional Robotic Reinforcement Learning with Developing Synergies
HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
Hit Expansion via Localized Exploration of Synthesizable Chemical Space
HOGWARTS: Mitigating Perspective Distortion for 6DoF Head Pose Estimation via Virtual Camera Space
HoloGene: Learning to Lift Sliced Spatial Transcriptomics to Holistic 3D Gene Fields
Homological Barriers to Stable Local Nash Dynamics in Quadratic Zero-Sum Games
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
How Does Cutout Benefit Out-of-Distribution Generalization?
How Fine-Tuning Objectives Shape Layer-Wise Information in LLM Hallucination Detection
How Much Information is Needed for Accurate Kalman Filtering?
Humans Correct Their Judgements Through Debate, but Weaker AI Models Not
Hybrid Neural World Models for Physical Dynamics
Hydra-X: Native Unified Multimodal Models with Holistic Visual Tokenizers
Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution
I2V-DETACH: Source Grounding Detachment for Unauthorized Image-to-Video Generation
Identifying and Mitigating Diversity Collapse in Zero-Shot Personalization with I2I Editing Models
Identifying Latent Neural Dynamics with Recognition-Parameterized Gaussian Process Dynamical Systems
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
ImmuVis: Hyperconvolutional Foundation Models for Imaging Mass Cytometry
Importance-Weighted Operator Learning Under Probability Measure Shifts
Improved Robust Verifiable Federated Learning Based on Packed Secret Sharing
Improved Weakly Supervised Semantic Segmentation with A Relationally Optimized Prototype Memory Bank Framework
Improving LLM Final Representations with Inter-Layer Geometry
In-Context Benign Overfitting: A Feature-Selection Model in Linear Regression ICL
Independent Latents, Robust Neural Operators
INEUS: Iterative Neural Solver for High-Dimensional PIDEs
InfCoiL: Coordinated Planner-Controller Learning for Closed-Loop Physics-Based Human-Object Interaction
Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories
InfoFlow: A Framework for Multi-Layer Transformer Analysis
In search of a definition of importance: Do attributions capture it?
Inside the Loop: A Mechanistic Study of Weight-Tied Transformers on Depth-Bound Algorithmic Tasks
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
Integrating Strengths of Different Multi-Agent Workflows via Step-Aware Hybrid Topology Planning
Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction
Interleaved Latent Thinking and Adaptive Termination for Efficient Reasoning LLMs
Internal Evaluation of Unsupervised Anomaly Detection Algorithms with Explanation
Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
IRIS: Interpolative Rényi Iterative Self-play for Large Language Model Fine-Tuning
Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)
JEDI: Real-Time Jailbreak Defense for LLMs via In-Generation Detection and Intervention
Joint EM Image Super-Resolution and Segmentation with Semantic and Structural Priors
Jointly Reinforcing Diversity and Quality in Language Model Generations
Joint Optimization of Tool Creation and Use for Large Language Model Agents
Joint Sequence--Vocabulary Selection for Efficient LLM Distillation
JRDB-AVR: An Active Visual Reasoning Benchmark for Embodied Agents in Real-World Environments
Just Ramp-Up: Debiasing Regression-based Estimator for A/B Tests under Network Interference
KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency
KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation
LACE: Latent Alignment via Counterfactual Embeddings
LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation
LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation
LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization
Large Language Models Enhanced Covariate-adjusted Response-adaptive Randomization Design
Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data
Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
Learning-Augmented Online Portfolio Selection: Optimal Robustness-Consistency Tradeoffs
Learning Collision‑Free Dispatch Policies for Route‑Wise Decision‑Dependent Anomaly Detection
Learning Contextual Causal Dynamics for Robust Exploration in Reinforcement Learning
Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
Learning From Failures: Efficient Reinforcement Learning Control with Episodic Memory
Learning from the Self-future: On-policy Self-distillation for dLLMs
Learning Generative Dynamics for 3D Molecule Generation via Sequential Neuro-Symbolic Constraints
Learning Hierarchical Patch Splitting Policies for Faster Vision Transformers
Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
Learning Optimal Transport Plans Via Autoregressive Token Regression
Learning Semantic Consistency for Open-Vocabulary Dense Perception
Learning the Committor Function using Weighted Ensemble Simulations
Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models
Learning to Ask: Metacognitive Action Policy for Large and Small Language Model Collaboration
Learning Transferable Cross-Day Representations for Few-Shot Neural Decoding
Learning Where to Look: Observation Policy Optimization for Thinking with Images
Learning with Multiple Correct Answers - Regret Bounds under Different Feedback Models
Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding
Lemon: Evidence-Risk-Aware Adaptive Organization for Long-Horizon LLM Agents
Less is More: Compact-Token Masked Feature Learning for Skeleton Representation Learning
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazing
Linear Contextual Bandits with Quasi-Optimism
LiSA: Lifelong Safety Adaptation via Conservative Policy Induction
LiteNav: Lightweight Map-free Outdoor Visual Navigation
Literati: Towards Anytime Optimal Shape Generalized Trees via AO*
LLM-enabled Applications Require Systematic Threat Monitoring
LLM Is a Good Conditioner: End-to-End Sign Language Video Generation with VQ-Diffusion
LLMs as MDP Designers: A Dependency-Aware Agentic Framework for Automated Robot Policy Generation
LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
Locality Sensitive Hashing for p-Exponential Kernels with Applications to Density Estimation
Locating and Repairing Domain Shift in VLM Trajectory Planning
Logarithmic Depth Suffices for In-Context Gradient Descent
LogicSR: A Unified Benchmark for Logical Discovery from Data
LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute
LoRAcles: Self-Supervised Weight-Space Interpretability at Scale
LoReC: Rethinking Large Language Models for Graph Data Analysis
Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
LPG: Balancing Efficiency and Policy Reasoning in Latent Policy Guardrails
LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios
LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
Machine Unlearning in Diffusion LLMs
MACRO: Training-free Multi-plane Attention for Closeup Render Optimization
MAGE: All-[MASK] Block Already Knows Where to Look in Block Diffusion LLM
Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
Majority-of-Three is an Optimal PAC Learner
MAMQ-Net: A Robust Framework Leveraging Multi-level Tamper-aware Queries and Complementary Representations of Tampering Features for Progressive Image Forgery Localization
ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching
Manifold Embedding of Deep Image Features for Image Matching via Neural Adjoint Maps
Manifold-weighted neural networks
ManipShield: A Unified Framework for Image Manipulation Detection, Localization and Explanation
ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making
Market Incentives for AI Safety Investment
Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
Mask-Conditioned Gradient Masking for Fine-Tuning Mixture-of-Experts Diffusion Language Models
Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
Matrix-Free Natural Gradient via Stochastic Truncated Metrics
Measuring Weak-to-Strong Legibility of Reasoning Models
Mechanisms of Misgeneralization in Physical Sequence Modeling
MedFlowBench: Auditing Medical Agents in Full-Study Workflows
Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks
MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
MedPsy: State‑of‑the‑Art Small Medical Language Models for Efficient Edge Deployment
MedVIGOR: Visual Evidence Internalization for Observation-Driven Reasoning in Medical VLMs
MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping
Membrane Sensitivity and Deployment Fragility of Learnable Time Constants in Spiking Neural Networks
Memory is Not Search: Towards Proactive, Lifelong Memory in AI
MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition
Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
Mental-Models for Multi-Agent Systems
Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
Meta-Reinforcement Learning with Zero-Shot Reinforcement Learning
Metropolis-Scale Road Network Datasets for Fine-Grained Urban Traffic Modeling
MICE: Multi-animal Interaction Context Encoder — A Hierarchical Foundation Model for Mouse Behavior
MIND-DDI: Multi-Omics Interpretable Drug-Drug Interaction Prediction with Joint Optimization of Graph Structure, Neural Architecture, and Symbolic Rules
MindGames:A Multi-Agent Benchmark and Trajectory Dataset for Evaluating Social and Strategic Reasoning in LLMs
MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support
Minimax Optimal Two-Sample Testing under Local Differential Privacy
MiniPIC: Flexible Position-Independent Caching in <100LOC
MINT: Meeting-time INdicators for Truncation in Multi-Step Off-Policy RL
MIRAGE: Hierarchical MI-Surrogate Regulation for Graph Contrastive Learning
Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction
Mitigating Asymmetric Boundary Encroachment in Continual Learning of Vision-Language Models
Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models
MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocol
ML Configuration Artifacts Should Be Closed Under Review
MMDiff: Multimodal Model Diffing for Feature Discovery and Control
MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs
MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization
Model Distribution-Aware Multimodal Dataset Distillation
Modeling quantum neural network gradient with reinforcement learning
ModelLens: Finding the Best for Your Task from Myriads of Models
Model Spec Midtraining: Improving How Alignment Training Generalizes
Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning
MolSpecFlow: Modality-Incomplete Molecular--Spectral Learning for MS/MS
MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
MonarchRT: Efficient Attention for Real-Time Video Generation
MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States
Monroe: A Molecular Foundation Model for In-context Probabilistic Inference
MoRe-DVC: Motion Retrieval-Augmented Generation for Detailed Video Captioning
Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed
MorphSIG: Subject-Driven Image Generation via Decoupled Anchoring and Feature Transport
MOSAIC: Concept Bottlenecks via Text-Anchored Optimal Transport
MOSAIC: Scaling Long-Horizon Language Agents via Multi-Scale Adaptive Inference Control
MoT3DVG: A Benchmark for Outdoor 3D Visual Grounding with Motion-Aware Descriptions and Temporal Cues
MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP
Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems
Multilingual Safety Alignment via Self-Distillation
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation
MUSS: A Multi-scale and Sequence-based Model for Single-cell Gene Regulation
MySign: A High-Fidelity Motion-Capture Dataset for 3D Sign Generation in Bahasa Isyarat Malaysia
Natural Jammers: When Non-Robust Features Become Antagonistic
Natural-Language-Guided Protein Generation for Ligand-Binding Design
Near-Optimal Learning in Parametric Bandits with Action-Dependent Coarsened Feedback
Nerve-Skeleton Message Passing for Federated Optimization with Overlapping Parameters
NesyProAct: Proactive Neural-Symbolic Control for Web Agents
Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity
Neural Preconditioned Born Series: A Metric-Matched Framework for Learning-based Preconditioners
Neural Spectral Capacity: An Architectural Quantity from Network Specification Alone
NeuroInk: Retinomorphic Spiking Sequence Modeling for Handwritten Text Recognition
Neuro-KE: Knowledge-Guided Interfaces for Semantically Grounded EEG Foundation Models
Neuronal Self-Adaptation Enhances Capacity and Robustness of Representation in Spiking Neural Networks
Neuron Populations Exhibit Divergent Selectivity with Scale
NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models
No Free Best-of-Both-Worlds Learning in Repeated Bilateral Trade
Noise-Regularized Training for Learned Image Compression
Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
No More, No Less: Task Alignment in Terminal Agents
Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning
Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems
Not All Tokens Should Be Treated Equally: Context Credits Reassignment
NoTA: Normalized Tensor Adaptation for Parameter-Efficient Continual Learning
NPCBench: A Clinical Apprenticeship Benchmark for Guideline-Constrained Care-Pathway Reasoning in Nasopharyngeal Carcinoma
NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models
N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
OccStress: Stress-Testing the 4D Occupancy Forecasting Chain
OFBD: Object-Focused Background Debiasing for Long-Tailed Learning
OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning
OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models
Online Conformal Abstention for Factuality Control Under Adversarial Bandit Feedback
Online Data Selection for Instruction Tuning via Gaussian Processes
On Making $SE(2)$-Invariant Networks Optimal
On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation
On the fundamentals of gradient-based SAT solvers
On the Last-Iterate Convergence of Clipped Gradient Methods
OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
OPSRL-SSP: Optimistic Posterior Sampling for Stochastic Shortest Path with Minimax-Optimal Regret
Optimistic Dual Averaging Unifies Modern Optimizers
Optimized Minimal 4D Gaussian Splatting for Efficient Dynamic Scene Representation
Optimizing Analytic Constants via AI-Guided Lean Proof Refinement
ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain
OS-Omni: A Cross-Platform Benchmark for Generalist Computer-Using Agents
Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems
Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
PACE: A Proxy for Agentic Capability Evaluation
PACO: Partial-order-Augmented Continuous Optimization for Differentiable Causal Discovery
PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control
Paloma: Phase-Conditioned Residual Modulation for Time Series Forecasting
PaLoRA: Paced Low-Rank Adaptation for Continual Learning
PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction
Patch Rebirth: Fast and Transferable Model Inversion of Vision Transformers
PATH: A Dual Perspective for High-quality Text-attributed Graph Learning
Path-independent Flow Matching for Multi-parameter Generative Dynamics
PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
PEEK: One-Step Look-Ahead Exposure Bias Correction for Diffusion Sampling
PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory
Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
Permutation Sensitivity in t-SVD-based Multi-view Clustering
Persistent Planar Memory for Video World Models
Phase Kernel Lifts Capacity of Dense Associative Memory
PHIONet: Port Hamiltonian Inertial Odometry Network
PHMForge: Evaluating LLM Agents on Industrial Prognostics through MCP-Native, Algorithm-Grounded Tools
PhotoFlow: Agentic 3D Virtual Photography Missions
PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos
PhysDNet: Physics-Driven Gradient Amplification for Real-Time Image Dehazing
PhysFormer: Learning to Simulate Mechanics in World Space
PhysGuard: Fisher-Guided Gradient Projection for Sim-to-Real Neural PDE Surrogates
Physics-Constrained Generative World Model for Off-Road Terrain via Post-hoc Projection
PhySPRING: Structure-Preserving Reduction of Physics-Informed Digital Twins via Graph Neural Networks
PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
PI-EDG: Physics-Informed Full-Space Electron Density Generation from Molecular Geometry
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
PipeFSDP: Efficient Pipeline Parallel under Fully Sharded Data Parallel for Large Language Model Training
PIU-CR: Physics-Informed Deep Unfolding Network with SAR-Optical Image Fusion for Cloud Removal
Plan2Sense: Open-World Task Planning in Epistemic States via Interleaved Ontic and Sensing Actions
Policy Optimization in Tabular MDPs: Data-dependent Regret under Unknown Transitions
Population-Aligned Persona Generation for LLM-based Social Simulation
Pose6DAug: Physically Plausible Multi-View Object Swapping for Robot Data Augmentation
Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement
Positional Encoding and Prompt-Order Sensitivity in In-Context Learning
PosterDuet: Co-Evolving Design Generation and Reward Optimization for Product Poster Synthesis
Post-Selection Distributional Model Evaluation
Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels
Predicting Nothing Beats SAM 3: Revisiting Evaluation in Video Object Segmentation
Predicting Species Splits: A Challenging Fine-Grained Benchmark for Category Discovery
Predictive but Not Plannable: RC-aux for Latent World Models
Predictive Representation Learning for Partially Observed Neural Dynamics
Preventing Error Cascades in Long-Horizon Multimodal Agents with Edge-Reliability Graph Memory
PriFT: Prior-Support Guided Token Reweighting for Supervised Fine-Tuning
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
Probability-Conserving Flow Guidance
PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents
ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking
Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models
Proportionality in Ranking Compression
ProQuant: Progressive Quantization-aware Training for Edge MLLMs
ProtGlycanDock: Towards Accurate Protein-Glycan Docking with Tailored Dataset, Benchmark and Model
Provable Joint Decontamination for Benchmarking Multiple Large Language Models
Provably Accurate Shapley Value Estimation in High Dimensions via Sparse Leverage Sampling
PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation
Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization
QDMouse4M: A Multi-View 3D Mouse Spontaneous Behavior Dataset with Quantum-Dot Markers
QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space
quanda: An Interpretability Toolkit for Training Data Attribution Evaluation
Quantitative Assessment of Crystal Structure Prediction
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not
Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
RADIUM: RadioActive Decay of Image-Underlaid Marks
RadOmni: Advancing Foundation Model for Non-contrast CT with Omni Radiology Knowledge
RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State
RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations
Rare-Class Signal Suppression in Long-Tailed Multi-Expert Fine-Tuning
RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
Readiness-Aware Sample Selection for Noisy Labels with Class Imbalance
Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning
RealityTest: How People Probe AI Identity and Whether Models Disclose It
Reasoning-Aware IRT: Explainable Evaluation of Test-Time Scaling in Reasoning Models
Reasoning Poisoning: Utilizing Social-Engineering to Steer Chain-of-Thought
Reconfiguring Procedural Knowledge for Compositional Robot Skill Adaptation
Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation
Re-evaluating Confidence Remasking in Masked Diffusion Language Models
Refinement as a Service: Algorithmic Predictor Refinement
Reformulating KV Cache Eviction Problem for Long-Context LLM Inference
Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution
REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
Region-Normalized DPO for Medical Image Segmentation
Register Anything Model for Generalizable and Robust Point Cloud Registration
Regularization Paths for Continuous DAG Learning
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow Models
Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs
Reinforcement Learning with Verifiable Physics: Post-training LLMs for PDE Solver Generation
Reliability-Budgeted Edge–Cloud Adaptation for Continual Multimodal Dehazing on UAV
Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference
Reliable Chain-of-Thought via Prefix Consistency
Reliable Federated Multi-View Learning via Conflict-Aware Evidence Calibration
ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
Reset Dependence Is Embodied: Training Protocol Changes Which Morphologies Appear Optimal
ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
Rest-Tuning: Data-Efficient Adaptation of EEG Foundation Models to Individuals via Resting-State Signals
Rethinking CT Synthesis through Semantics-Structure Alignment
Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions
Rethinking Knowledge Distillation for Diffusion Language Models
Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation
Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs
Rethinking Time Series Tokenization from a Frequency Perspective
Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios
Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks
Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
Retrieve What’s Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
Revisiting Incremental Learning: A Three-Interface Diagnosis of Stability and Plasticity
Reward-Estimated Hypergradient for Bilevel Reinforcement Learning with Black-Box Follower
RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with LLMs
Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation
RL-Guided Temporal Localization for Dual-Channel Retrieval in Long-Horizon Agent Memory
RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models
RoboProcessBench: Benchmarking Process-Aware Understanding in Visual-Language Robotic Manipulation
Robust and Efficient Continual Model Merging via Global Singular Subspace Separation and Restoration
Robust Offline Reinforcement Learning against Out-of-Distribution Dynamics in Autonomous Driving
Robust Satisficing Ensemble: Scalable Model Aggregation Under Distribution Shifts
RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism
RoutingBench: Can Agentic Routing Analysis Scale to Production Datacenter Networks?
S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
SAFE-DRIFT: Data Selection for Supervised Fine-tuning with Controllable Off-Target Drifts
Safety-Aware Latent Space Reasoning in Large Language Models
SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning
SageSched: Efficient LLM Scheduling Confronting Demand Uncertainty and Hybridity
SAGE: Semantically Disentangled Representation Learning through Latent Geometry Constraint and Large Language Model
Same Words, Different Judgments: How Preferences Vary Across Modalities
Sampling-Based Safe Reinforcement Learning
SatNav: A Scalable Benchmark for Long-Horizon UAV Vision-Language Navigation from Satellite Imagery
SayNext-Bench: Why Do LLMs Struggle with Next-Utterance Anticipation?
Scalable Minimal-Change Learning for Controllable Image Editing
Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
Scaling Laws for Synthetic Pretraining in Radio-Map Prediction
Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining
SceneShifter: Training-free Multi-Scene Temporal Control for Audio-driven Human Animation
SCHTs: A Semi-Structured Dynamic Sparse Training Framework for Hardware-Efficient Deep Learning
SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring
SCION: Scene Composition via Instanced Neural Primitives
ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
Score-based Variational Inference via Quantum Maximally Mixed States
SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation
Search, Edit, and Fold: LLM-Guided MSA Optimization for Protein Conformation Prediction
Second-Order Complexity Theory for Neural Networks
Seeing Beyond the Next Step: World-Model-Guided Human-Like Navigation in Multi-Agent Scenes
Seeing Together, Acting Apart: Shared Environmental Understanding for Multi-Robot Navigation
Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
Selective Critique for Cost-Aware LLM Agents in Long-Horizon Decision Making
Selective Disk Bispectrum: A Complete and Rotation Invariant Image Descriptor
Selectivity Makes State-Space Models Universal Sequence Approximators
Self-Correction as Transition Geometry: Internalizing Reasoning via Lifted State Policy Optimization
SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models
Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
Semantically Complementary Spectral Views Learning for Graph-Level Anomaly Detection
Semantic Freedom Bottleneck for Domain-Generalized Multimodal Face Anti-Spoofing
Semantic Residual: A Paired-Oracle Decomposition of LLM Multi-Agent Systems under Lossy Channels
Separating Common and Unique Directions for Model Merging
Serialization Tax in Shared-Latent Exchangeable Decisions
Settling Pure Differentially Private Covariance Estimation
SGEvolve: Semantic Gradient Guidance for LLM-Driven Evolutionary Search
Sharpness, Stability, and Step-Size Scaling in Deep Polynomial Networks
SheafStain: Sheaf-Theoretic Schr\"odinger Bridge for Spatially and Biologically Coherent Virtual Staining
SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
Simmer: A Scalable Pretraining Recipe for Video-Text Encoders
Simple yet Effective Budget-Feasible Procurement Auctions for Submodular Welfare Maximization
Simplified Reversible Residual Networks
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles
SkillOrchestra: Learning to Route Agents via Skill Transfer
SkillOS: Learning Skill Curation for Self-Evolving Agents
SkiP: When to Skip and When to Refine for Efficient Robot Manipulation
Slide P2V-Bench: A Cross-Domain Benchmark for Slide-Centric Scientific Paper-to-Presentation Video Generation
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
SO(3)-Equivariant Learning on CAD Boundary Representations
SOAP-Bubbles: Effective and Scalable Variational Learning with Structured Covariances
SOAR: Regression-based LiDAR Relocalization for UAVs
SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation
SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver
Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
Spatial-temporal Attributes Enhanced Prompt Weighting and Fusion for Video Recognition
SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation
Spectral Feedback for Test-Time Alignment of Protein Diffusion Models
Spectral Transformer Neural Processes
Speculative Decoding Is Per-Token, Not Path
Speech Tokenizers are Vulnerable: Transferable Semantic Attack and Robust Tokenizer
SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting
Spherical Interpolation for Backward-Compatible Multimodal Representations
SphMind: Towards Robust, Training-Free VLM-based Spatial Reasoning with a 360 Camera
SpikeSTAG: A Dendritic Compartmental Spiking Graph Network for Multivariate Time-Series Forecasting
SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents
SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
Stability and Generalization in Looped Transformers
Stabilizing RL+Search for Imperfect-Information Extensive-Form Games
Stable Max Coverage Under a Cardinality Constraint
State of Thought Enables Endogenous Reasoning
Statistical Mixing Guarantees for Contractive Echo State Networks
ST-Bridge: Bridging Sketch and Text with Large Language Models for Coarse-to-Fine Image Retrieval
Steering Fields: Adaptive Vector Fields for Safe Image Generation and Beyond
SteerVTE: Seamless Video Text Editing with Style and Glyph Control
STEMFly: Enhancing UAV Vision-Language Navigation via Sensor Grounding, Temporal Diversity and Episodic Memory
Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces
StiCAS: Compositional Activation Steering via Stiefel Manifold Coordinate Transport
Stitched Value Model for Diffusion Alignment
STParOpt: An End-to-End Framework for Execution-Aware Parallelism Inference and Optimized CUDA Migration
StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models
StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
Structural Blindness in Latent Data Assimilation: Representation Geometry Misleads Sensor Design
Structure-aware Reinforcement Learning for Protein Directed Evolution
Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search
Submodular Benchmark Selection
Subprocess-Constrained Markov Decision Processes
Support Mismatch as a Benchmark Failure Mode for In-Context Prediction
SurgVista: Long-Horizon Surgical World Modeling with Plausible Instrument-Tissue Dynamics
SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Symmetric Interventions for Eliciting Model Intent
SympFNO: Structure-Preserving Fourier Neural Operators for Physical Surrogate Modeling
Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
SynDORBench: Evaluating LVLM Perceptual Robustness Under Physically Constrained Visibility Conditions
Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
Taming the Tails: Why Distributionally Robust Optimization Needs New Theory for Imbalanced Regression
TanGCE: Manifold-Aware Concept Erasure
TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability
Task Success Is Not Enough: Side-effect-Aware Evaluation of Tool-Using Language Model Agents
Temperature-Regulated Stochastic Sampling for Diffusion-Based High-Quality Molecular Generation
Temporal Backtracking Search for Test-time Generative Video Reasoning
Temporal Behavior Trees for Reinforcement Learning: Specifications as Rewards, Curricula, and Diagnostics
Temporal Prototype Alignment for Frozen-Feature Dataset Distillation
Temporal Slice Learning for AI-Generated Video Detection with 400× Fewer FLOPs
TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows
Test-Time Graph Anomaly Detection via Shifted Augmentation with Dynamic Objective Scheduling
Test-Time Learning with an Evolving Library
Test-time Scaling for Diffusion Language Models with Frequency-Aware Remasking
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
The Adversarial Gait: Detecting Visual Adversarial Attacks against Vision-Language Models via Self-Targeted Gradient Characterization
The AI Observatory: A Public Measure of Real-World AI Use
The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer
The Alignment Illusion in Multimodal Large Language Models
The Alignment Tax Concentrates in Output Projections
The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play
The Block Catastrophe of Marginal Calibration in Certified Requirements Traceability
The Butterfly Effect in Reasoning: Branch-Structured Distributional Memory for Stochastic Agents
The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory
The Cost of Mismatch: Noise Amplification in Zeroth-Order Reinforcement Learning
The Dynamic-Probabilistic Consistency Gap in Chaotic Surrogate Modeling
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
The Geometry of Agent Skills: Non-Commutative Composition in Representation Space
The Implicit Bias of Hyperbolic Representation Learning for Multiclass Data: A Busemann Risk Perspective
The Internal Growth Function: A More General PAC Framework for Scenario Decision Making
The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
The Pok\'emon Theorem and other Fairness Impossibility Results
The Price of Locality in Label Privacy: Optimal Rates for Classification and Regression
The Quantization Benefits of Residual-Free Transformers
The Rate-Distortion-Polysemanticity Tradeoff in SAEs
The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset
The Subjectivity of Monoculture
The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail
The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models
They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification
Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving
Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators
ThinkSafe: Self-Generated Safety Alignment for Reasoning Models
TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
TimeTraveler: Temporal Strategy Planning with Time Dictionary for Streaming Video Understanding
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models
TokenRouter: Efficient Serving System for Token-Level LLM Routing
Too Aligned to be Real: Detecting AI-Generated Images via Cross-modal Alignment Shift
Tools as Continuous Flow for Evolving Agentic Reasoning
ToPA: Block-wise Toeplitz Adaptation for Expressive and Efficient Fine-Tuning
Topology-Aware Optimal Transport for Source-Free Test-Time Adaptation in Anomaly Segmentation
TopoPrune: Robust Data Pruning via Unified Latent Space Topology
Toward Executable Multi-framework Front-end Code Generation with Self-Correction
Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion
Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
Towards Principled Fine-Grained MoE Expert Pruning via Pseudo-Boolean Approximation
Towards Self-Supervised, Generalizable and Decomposable 4D Driving Scene Reconstruction
Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective
TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics
Track4D: Representing Dense 3D Tracking for Video Diffusion Models
Trainable Topology Supervision under Structurally Unreliable Pseudo Supervision
Train at the Moving Edge: Rollout-Efficient RL for Large Reasoning Models
Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
Training-Based Backdoors Are Not Cryptographic
Training-Free Entangler Selection for Quantum Neural Networks via Hilbert–Schmidt Geometry
Training-Free Generative Sampling via Moment-Matched Score Smoothing
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
Transcoder Adapters for Reasoning-Model Diffing
Transferring Visual Explainability from Self-Explaining to Prediction-Only Vision Transformers via Task Arithmetic
Transformers Can Learn Multiclass Classification In-Context: Isotropy Governs Generalization
Treat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement Learning
Tree-Sliced Orlicz Integral Probability Metric
TriAxialKV: Toward Extreme Low-Precision KV-Cache Quantization for Agentic Inference Tasks
TriBet: Relative E-values for Online Machine-generated Text Detection
Trie-Aware Transformers for Generative Recommendation
TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image Generation
TriSpec: Ternary Speculative Decoding via Lightweight Proxy Verification
Trivialized Generative Models on Lie Groups
Truncate Bad, Upweight Good: BoN-Style Distillation via Rank-Based Classification
TrunkFish: Making Model Width Incrementally Refinable
Trust, but Don’t Verify: Epistemic Blind Spots in LLM Source Evaluation
Trustworthy AI Must Account for Interactions
Trustworthy and Efficient Map-free LiDAR Localization via Scan-Pose Alignment and Flow Matching
Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
Uncovering the latent structure of interwoven population and temporal codes
Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization
Understanding Model Reprogramming: A Reachability and Relabeling Perspective
Understanding Randomization in Greedy Model Search
Understanding the Effects of Hyper-Connections on Self-Attention Dynamics: A Bifurcation Analysis
Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs
Unified Loss-Aware Density Control for 3D Gaussian Splatting
UniForm: Segment-Aware GRPO for Joint Punctuation Restoration and Inverse Text Normalization
Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
Unifying Partner and Environment Diversity to Improve Human-AI Coordination
UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering
Unlocking Compositional Generalization in Continual Few-Shot Learning
Unlocking Fine-Grained Perception in CLIP via Structurally-Aware Latent Masked Modeling
Unpacking the Evaluators: How Configuration Shapes the Evaluation of Alignment in Explainable AI
Unveiling Memorization–Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise
UpSafe℃: Upcycling for Controllable Safety in Large Language Models
Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes
URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets
Utility-Constrained Policy Optimization
VAANI: Capturing the language landscape for an inclusive digital India
Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization
Variable-Length Generative Protein Design via Generalized Poisson Flow
Variational Cover Modification Steganography
Verified-Source Authority Is Not Generic Sycophancy: Cue-Family Decomposition of LLM Compliance
VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation
VicEdit: Learning to Edit Videos from Visual In-Context Examples
VidUEU-Agent: A Data-Curation Agent for Multimodal Understanding, Editing, and Unified Tasks
VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
View Confidence Perception-Driven Incremental Prediction for Incomplete Multi-view Multi-label Learning
VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
ViLo: LiDAR Localization with Vision-Language Priors
VisEditBench: A Benchmark for Vector-Format Diagram Editing with Visual Instructions
Vision Token Pruning via Query-Vision Interaction Decomposition
Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images
Visual-Advantage On-Policy Distillation for Vision-Language Models
VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following
VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing
V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
Vortex: Efficient and Programmable Sparse Attention Serving
Walking the Hypercube: Unbiased Quantum Partition Functions Without the Matrix
WASD: Wasserstein-based Knowledge Distillation for Large Language Models
WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling
Watching Itself Watch: Self-Auditing Visual Reliance for Video Reasoning
WavCIL: Wavelet Coefficient-Domain Invariant Learning for Dynamic Graph OOD Generalization
WaveGen: Truly End-to-End Waveform Generation via Internal Spectral Trajectory Learning
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
What Arranges Features in Activation Space? Non-Classical Predictive Geometry in Next-Token Predictors
What Cohort INRs Encode, and Where to Freeze Them
What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
What Sketches Tell Us about LVLMs: Conventions, Grounding, and Localisation
What the Geometry of Good Models Tells Us
What to Forget in Unlearning? Forget Set Curation for Language Models
When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition
When to Inject the Target: Stage-Decoupled Guidance for Diffusion-Based Targeted Adversarial Attacks
When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models
When to Trust Memory: Retrieval-Guided Probabilistic Spatiotemporal Forecasting under Distribution Shift
Where and When Identity Forms: Identity-Vital Attention Redistribution for Training-Free Subject-Driven Generation
Where Do Long Captions Fail? Position-Aware Diagnosis and Reinforcement Learning for Detailed Image Captioning
Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis
Why Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts
Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression
Winning the Symmetry Lottery: Learning Invariance from Data Augmentations with Transformers
Words That Make Language Models Perceive
WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction
X-AVDD: Cross-Attentive Audio-Visual Dataset Distillation
xHC: Expanded Hyper-Connections
Z-AXIS: From Deterministic Ground to Agentic Depth for Enterprise Evaluation
Zeroth-Order Sharpness-Aware Learning with Exponential Tilting
AI and Data Science for Her: Training the Next Generation of High School Girls in Nigeria
The Voice-Native Classroom: Multilingual AI Co-Teachers for Global ML Education
DTCH Digital Turcologist Bootcamp: Evidence-First, Evaluation-First AI/ML for Under-Resourced Historical Turkic Languages and Cultural Heritage Data
The 100x Challenge: Compression-First Research Pipeline for Bandwidth-Constrained Regions
FATE-AI: Futures of Agriculture, Technology, and Ecology in Artificial Intelligence
Wikair (Student-Led Nonprofit), a Global, Youth-Led, Interdisciplinary AI Education Program
(ends 1:00 PM)
11 a.m.
Creative AI Session 3 [11:00-2:00]
s -
AgencyBudget: Controlling Unsolicited Change in Iterative Human–AI Co-Creation
AI's Silent Omissions: Redistributing Bodily Agency
ANCORA
Don Qui-CoPilot: An Experiment in the Surrender and Reclamation of Self in the Age of Agentic AI
Everyone's a Director: A Trip to the Moon, recreated by 4.8 Million Votes
Exploring Textual Guidance for Video-to-Music Generation Models
From Artists to Artisans: Preserving Agency Against Cognitive Fordism
How Much of This Is Mine? Shapley Credit for the Aesthetic Reranker
How to Get an Audience to Laugh at a Live Generative Story: Crowd-Sourced Humor and Shared Agency
Incentives Shape How Humans Co-Create with Generative AI
Love Mission 404: Manufacturing Spontaneity in a Generative Dating Show
Machine Eye
PainterBench: Evaluating Painterly Controllability in Generation and Verification
Performative Taste: When Creative Control Changes with Horizon
Spectral Evidence
Synthetic Capital: Symbolic Hierarchy in Fashion Photography and the Outsider Status of Generative Imagery
The Avatar in Chief
The National Average
The Sound of Reasoning
Towards Measuring Creative Agency through Observable Signals in Human–AI Graphic Design
When Rejected Properties Return: Measuring Veto Persistence in Conversational Image Editing
WHISPERS: An Interactive AI Thriller Series
Whose Hand Do You Prefer? The Steerability of Machine Aesthetic Judgment
(ends 2:00 PM)
noon
Break:
Retail Lunch
(ends 2:00 PM)
2 p.m.
Sydney Invited Talk:
To score or not to score
Cheng Soon Ong
(ends 3:00 PM)
3 p.m.
Break:
Coffee
(ends 3:30 PM)
3:30 p.m.
Sydney Oral Session 2F [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 2A [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 2B [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 2C [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 2D [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 2E [3:30-4:30]
(ends 4:30 PM)
4:30 p.m.
Creative AI Session 4 [4:30-7:30]
s -
Activation Steering the Nan-Shan in Typhoon
Agent Inheritance Protocol: Speculating on Feralized Agents After Principals Die
AI Mom™
Algorithmic Flesh
Ars Incompleta: A Novel That No One Will Ever Finish Reading
Attention Garden
Automation of Creative Design Representation: A First Step Towards a Co-Pilot for Generative Design
Biocompiler: Compiling Spatial Network Optimization Problems into Living Solvers with Digital Fabrication System
Born, not Made
Cache Machine
Entangled Matter: AI, Humans and Golems
Ethos Lithos
FANVERSE: Exploring and Extending Branching Story Universes Across Canon and Fan Fiction
FlockWorld: Toward Population-Scale Multi-Agent Video World Models through Artificial Life Simulation
From Memory: Mechanistic Interpretability and Emotion as Artistic Mediums
In a Grove, Again: Optimizing over Feasible Event Histories for Incentive-Driven Testimony
Memory Machines #3: an oceanic pas de deux
Neo Ferro-Mýrmēx Economy
nom nom: Metabolic Worldbuilding through Neural Cellular Automata
Playing the Plot: Optimizing Narrative Structure with Strategic World Models
Symbiotic Traces: An Ecological Record of Language Model Training
The Dead Ear: A Language Model’s Inherited Accent Is an Archive, Not an Author
The Plot Refuses the Author: Diegetic Contestability for Character-Driven AI Co-Writing
What Value Forgets: Neural Search Within a Combinatorial-Game Value
(ends 7:30 PM)
5 p.m.
Talk:
Science Communication Training Session 2
(ends 6:00 PM)
Break:
Coffee & Snacks
(ends 6:00 PM)
Sydney Poster Session 4 [5:00-8:00]
Posters 5:00-8:00
$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
$PAS^2$: Physics-Anchored Spectral Reasoning for Air Quality Forecasting
$\texttt{RNAGenScape}$: property-guided, optimized generation of mRNA sequences with manifold Langevin dynamics
A Batched Hartigan's $k$-Means Clustering
A Benchmark for Omni-Modal Reasoning in Long Videos
AccelEval: A Whole-Program Benchmark for LLM-Generated CPU-to-GPU Code Acceleration
AC/DC on a Budget -- Alternating Sparse Phases
AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
Adaptive Attribute Completion with Representation Space for Incomplete Graph Domain Adaptation
Adaptive Joint Testing of Policies in Discounted Markov Decision Processes
Adaptive multiscale operator correction via learned spectral subspace and physics-informed optimization.
AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
ADIS-Law: Unified Scaling Laws for Annealing-Phase Domain Injection in Large Language Models
AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
ADMIT: Support-Gated Memory-Write Admission for Document QA Agents
A Dual-Domain Vision Transformer with Spectral Positional Bias
Advancing Affordance-Grounded Creative Tool Use in Large Multimodal Models
Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization
Adversarially Attacking Symbolic Vocabulary Vulnerabilities In LLM Planners
AEGIS: Almost Surely Safe Offline Reinforcement Learning
AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
Agent$^2$ RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?
Agent Explorative Policy Optimization for Agentic Multimodal Reasoning
AgentSSL: Can MLE Agents Leverage Unlabeled Data?
AI Control for Sandbagging on Fuzzy Tasks
AirIAD: Agentic Iterative Reasoning for Industrial Anomaly Detection
Algorithm for Contextual Queueing Bandits with Rate-Optimal Queue Length Regret
Aligning Inductive Bias for Data-Efficient Generalization in State Space Models
Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative RLHF
Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models
AMGenC: Generating Charge Balanced Amorphous Materials
A Model of Diverse Sampling from Language Models
An Equivariance Principle for Optimizer Design: Symmetry-Compatible Updates for Embeddings, LM Heads, and MoE Routers
Anymotion: A Dataset, Benchmark, and Baseline for Controllable Human Motion Editing
AppCIF-Bench: An Application-Level Complex Instruction Following Benchmark for Large Language Models
Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees
ARES: How Reliable Are LLM User Simulators for Recommender A/B Testing?
A Retained-Signal Interface for LLM Watermark Robustness under Paraphrase
ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation
ARROW: Augmented Replay for RObust World models
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Scheduling
Artificial Aphasias in Lesioned Language Models
ASAP: Fast Adaptive Sliding Agnostic Poisoning Attack on Federated Learning
ASH: Agents that Self-Hone via Embodied Learning
Ask-E: An Environment for Calibrated Question Generation
Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling
A Stability Analysis of AdamW: Unstable Equilibria and Non-Convergence
A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
A Subgoal-driven RL Framework for Improving Long-Horizon Web Agents
A Surrogate Perspective on Convergence of Fixed-Target DQN
AsymPipe: Accelerating Large-scale DiTs Image Editing via Asymmetry-Aware Pipeline Parallelism
AsyncOPD: How Stale Can On-Policy Distillation Be?
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
A Trust Region Approach for Learning Schrödinger Bridges
Attribution-Guided Shared-Private Decoupling for Noise-Reduced Audio-Visual Representation Learning
AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation
Audio-Visual Flamingo: Open Audio-Visual Intelligence for Long and Complex Videos
Auditing Capsule Vision 2024: Within-Split Train-to-Validation Re-Exposure and a Kvasir-Channel Sensitivity Diagnostic
A Unified Framework for Image-to-3D Part Generation via Variable Granularity
A Unified Image and Video Encoder for Multimodal LLMs
AutoHoney: Automating, Deploying, and Evaluating Scheming Honeypots Across Production Codebases
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
Autoregressive Appearance Prediction for 3D Gaussian Avatars
Auto-Rubric as Reward: From Implicit Preference to Explicit Generative Criteria
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
Auxiliary Clues Aware’s Geometry Problem Solving
AVIS: Adaptive Test-Time Scaling for Vision–Language Models
Axiomatic Reinforcement Learning for Open Multi-Agent Systems from Shapley Axioms
Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
Bandits via Additive Quantized Representations
BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition
Basis-Mediated Bilinear Attention: A New Method for Greatly Reducing Query--Key Pathway Parameters
BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds
BayesJudge: Uncertainty-Aware Bayesian Meta-Evaluation of Human and LLM Judgments
BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
Beckmann Transport Models: From Autonomous Flows to One-Step Maps
Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception
BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems
Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
Benchmarking Open-Ended Multi-Agent Coordination in Language Agents
Bet Imaginatively, not Historically in Independent-Data Sequential Testing
Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
Beyond Decoupled PEFT: Geometry-Aware Low-Rank Adaptation via Riemannian Reparameterization
Beyond Eigenfunctions: Divergence Principal Functions for Representation Learning
Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
Beyond Flat Gossip: Tiered Gossip Learning for Scalable Collaborative AI
Beyond IID: How General Are Tabular Foundation Models, Really?
Beyond Langevin: Sampling Multimodal Densities using the Witten Laplacian on 1-forms
Beyond MSE: Differentiable Complexity Priors for Structure-Preserving Neural Denoising
Beyond Node Sequences: Relational Diffusion for Unified Graph Learning
Beyond Normal References: Discriminative Few-Shot Anomaly Detection
Beyond Outcome: Trajectory-Driven Prompt Optimization via Multi-Dimensional Rewards
Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept
Beyond Stabilization: Dual-EMA Teachers for Global–Local Semantic Learning in Semi-Supervised Medical Image Segmentation
Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Image Generation
Binary Regression: Universal Ising Model, Binary Expansion and Beyond
Biological Graph Priors Enable Representation Learning for Cellular Microscopy
BioMicroAgents: A Co-evolutionary Multi-Agent Framework for High-Fidelity Biomicroscopy Imaging
BioSafetyBench: Agentic Cascade Evaluation for the Bio-AI Ecosystem
Block-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM Pruning
Boosting Multiagent Reinforcement Learning at High Replay Ratios with Ensemble Reset
Boost Reasoning Evolution via Responsive Rollout Difficulty Manipulation
Boundary Mass in Feature Space as a Label-Budget Diagnostic for Representations
BQ-LoRA: Binary-Quantized Low-Rank Adapters as Implicit Regularizers for Parameter-Efficient Fine-Tuning
BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning
BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning
Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
Breaking the Group Size Barrier: Parameter-Efficient Group Dance Generation with Chain-of-Dancers
Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
Bridging Compute- and Data-Optimal Pretraining
Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling
Bridging the Gap: Position-Independent Cache Reuse for Hybrid SSM-Attention Architectures
BudSplat: Feed-forward 3D Gaussian Splatting under a Rendering Budget
Build-and-Find: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
Busemannformer: Horospherical Self-Attention for Hyperbolic Graph Transformers
C2G-BENCH: A Cyber-Physical Evaluation Benchmark for Hierarchical Reinforcement Learning in Grid-Interactive Hyperscale Data Centers
C3: Long-Horizon Character Consistency via Causal-Continuous State Dynamics and Memory Rewriting
C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation
CacheMAS: Cache Communication for Single-Pass, Jointly-Optimized Multi-Agent Systems
Cache the Future: Training-Free Self-Revision for Diffusion Transformer Acceleration
CADMA: Capacity-Aware Recall Decomposition for Generative Model Assessment
CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models
Calibrating Generative Models to Feature Distributions with MMD Finetuning
CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying
Can LLMs explain themselves truthfully with code?
CAPER: Clause-Aligned Process Supervision for Text-to-SQL
Capricorn: Highly Efficient and Secure Mixture of Experts Inference Framework
CARD: Internalizing Expert Critique into Reinforcement Learning for Deep Search
Cascaded Sparse Autoencoders LearnMulti-Level Visual Concepts in Multimodal LLMs
CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning
CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes
CHAIN: Complementary Signed Graph Propagation for Uncertainty Quantification in Large Language Models
Chain-of-Thought Is Not Explainability
Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
Channel Mixer: A Pretrainable Tokenizer for Scalable Multi-Channel Vision Transformers
Cheap Talk, Real Stakes: Commitment and Exploitation in Human-LLM Strategic Interaction
ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning
Cite What You Explore: Budget-Aware LLM Reasoning over Medical KGs with Verifiable Evidence
CLEF: EEG Foundation Models for Learning Clinical Semantics
Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
ClinMAS: A Knowledge-Grounded Multi-Agent Simulation Framework for Evaluating Clinical Reasoning in LLMs
CLIOPATRA: Extracting Private Information from LLM Insights
Closed-Form Implicit Neural Representations
Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
Closing the Loop with Fixed-Point Self-Attention
CODA: Cohort- and Drift-aware Foundation Model for Multimodal Clinical Reasoning
Co-Evolving Policy Distillation
Cognitive Firewalls: A Synthetic Account of Cross-Lingual Reasoning Collapse
Commit Then Explore: Reasoning Models Diversify, Not Converge
CommunityKV: Efficient Long-Context Decoding via Graph Partitioning
COMPOSE: Composing Future Theorems from Citations and Formal Structure
Compositional Generalization Certificates via the Van Kampen Theorem
Compositional Training-Free Diffusion Planning for Long-Horizon Multiple Reach-Avoid Tasks
Compressing Collections of Trees with Decision Equivalence
Computational Depth Predicts Quantization Sensitivity in Multimodal Models
Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers
Confidence Estimation via Decoupled Smoothing for Dynamic LLM Routing and Aggregation
Conflict-Aware Logit Adapters for Utility-Preserving Anti-Distillation
Conservative neural posterior estimation via distributionally robust training
Consilience for Verifier-Free Test-Time Scaling
Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability
Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning
COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
Coverage-Verified Sparse Attention: Closed-Loop Quality Control for Long-Context LLM Decoding
Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
CRISP: Compositional Reasoning over Images via Stackable Programs for VLMs
Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions
Cross Flow: One-Step Generation Across Latent and Pixel Spaces
CrossID: Cross-Supervised Spatio-Temporal Gated Fusion for Personalized Portrait Generation
Cross-Layer Evolution Graph Learning for Fine-grained VLM Hallucination Detection
Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse
CruxBench: A Benchmark of Information Discovery
CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models
CURE: Visual Reprogramming of Vision-Language Models under Limited Supervision
Curvature-Dependent Lower Bounds for Riemannian Online Convex Optimization
Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
Darwin-7B: A Multi-Omic Foundation Model for the Human Gut Microbiome via Sparsified Quality-Aware Tokenization
Data-Free Metrics Are Not Invariant Under Functionality-Preserving Reparametrisations
DC-Ocean: Deep Latent Compression for Global High-Resolution Ocean Forecasting
DDGE: Disentangled Dirichlet Geodesic Evaluation for Robust Few-Shot Learning
Decentralized Q-Learning in Markov Potential Games
Deep Heteroskedastic Regression: Post-Hoc Variance Estimation from Latent Representations
Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences
Derived Fields Preserve Fine-Scale Detail in Budgeted Neural Simulators
Designing Effective Monitor-Based Interventions for Mitigating Reward Hacking During RL
Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
DetectViT: Test-time Backdoor Detection for Vision Transformers via Inter-Head Attention Discrepancy
Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
DICEQuant: Distortion-Compensated Rounding with Dual-Ended Shrinkage for LLM Quantization
Differentiable Belief-based Opponent Shaping
DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision
Diffusion LLMs are Natural Adversaries for any LLM
Diffusion Transformers with Residual Adaptive Layer Normalization
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting
Disambiguating 2D-3D Correspondences in Gaussian Splatting-based Feature Fields for Visual Localization
DisCoMBO: Steering Expert-in-the-Loop Black Box Optimization via Distributional Conformance
Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning
Discrete Diffusion Playground: A 2D Benchmark for Discrete Generative Models
Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
Dispatchable Coordination Envelopes for Embodied Collaboration Under Sequential Uncertainty
Distillation of Foundation Models for Time-dependent PDEs
Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs
Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
Distributed-Order Fractional Spiking Neural Network
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
Distributionally Robust Mixture-of-Experts Training
Dodge-It: Learning Collision-Aware VLA Models for Robotic Manipulation
Do Diffusion Models Learn to Generalize Basic Visual Skills?
Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
Do Less, Decide Better: Optimal Human Dispatching in AI-Assisted Decisions
Do LLMs Feel Social Pressure? Locating and Steering Social Desirability Bias in LLMs
Domain-Conditioned Class Imbalance: Why Global Class Balance Fails Across Domains
Don't Lose Focus: Activation Steering via Key-Orthogonal Projections
Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods
Do We Really Need Diffusion for Generative Object Detection? A Minimal Prototype Perspective
Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
DRAGON : A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams
Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
Drifting Field Policy: Wasserstein Gradient Flow on Policy Space for Offline-to-Online RL
Drift Q-Learning
DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization
DriveFuture: Future-Aware Latent World Models for Autonomous Driving
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
DSBTR: A Diffusion Schrödinger Bridge Trajectory Refiner for Multi-Agent Trajectory Prediction
DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
DTGS: Physics-Embedded Dynamic Thermal 3D Reconstruction with Gaussian Splatting
DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
Dual-Space Preconditioning for Variational Inequalities and Root-Finding Problems
Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
Dynamic Context Modeling for Longitudinal Mental Health Monitoring under Distribution Shift
DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
ECHO: Continuous Hierarchical Memory for Vision-Language-Action Models
EditDistill: Is It Possible to Guide Video Editing with Image Editing
Efficient, Accurate and Stable Gradients for Neural ODEs
Efficient algorithms for linear regression with heteroskedastic errors
Efficient Computation and Best-Response Dynamics in Anonymous Two-Action Games with Linear Utilities
Efficient Prediction of Pass@k Scaling in Large Language Models
Efficient Reasoning via Constrained Optimization in Latent Space
Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation
EGCA: A Spectral Perspective on Forward Process Design in Diffusion Models
Ego-HMB: Human Motion Bridging from Egocentric Images via Motion Bridge Diffusion Model
EgoStream: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision
Eliciting Secret Knowledge from Language Models
EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes
Empirical Bayes Rebiasing
End-to-End Neural Modeling of EM Response and Design Performance for Free-Form RFIC Passives
End-to-End Training for Unified Tokenization and Latent Denoising
EnerGNN: Learning Optimization-Compatible Energy Functions for Exact Constrained Combinatorial Inference
Energy-Adaptive Equivariant State Space Models for Noise-Robust Protein Structure Representation
Enhancing Novel View Synthesis via Geometry Grounded Set Diffusion
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control
EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
Error-Guided Bellman Calibration for Semi-Offline Value Estimation
Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity
Evaluating Physical Reasoning in LLM Agents Requires Construction Benchmarks
Evaluating Spatiotemporal Reasoning of Vision-Language Models in Atari Gameplay
Evidence Guided Dual Expert Memory with Joint Routing for VLLMs Online Correction
EvoCodeBench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
EvoDiagram: Agentic Editable Diagram Creation via Design Expertise Evolution
EvoMM: Reinforced Self-Evolving Multimodal Agentic Memory
Exact Channel Decoupling via Joint Diagonalization and Uniform Splicing for Diffusion Transformer Quantization
Exact-Form Regret and Conservative Correlated Equilibria
Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method
Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
Explaining Cross-Modal Model Behavior with Gradient-Estimation-Based Feature Interaction
Exploring Multi-Order Self-Similarity for Motion Understanding
Exposing and Mitigating Temporal Attack in Deepfake Video Detection
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
ExtrapAir: Air Quality Inference at Unmonitored Locations via Weather-Bridged Spatial Attention
Extrapolative Weight Averaging Reveals Correctness–Efficiency Frontiers in Code RL
Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking
FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration
Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs
Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
FaithSieve: Fine-Grained Evaluation of Math Proofs with Faithful Formal Evidence
FA-LAM: Focus-Aware Large Avatar Model for One-Shot 4D Animatable Gaussian Head
Fast and slow gradient descent dynamics of logistic regression through weak alignment
Fast Sandwich Products in Clifford Algebra
FC-DGCN: Deep Graph Convolutional Network for Face Clustering and Recognition
FeatCal: Feature Calibration for Post-Merging Models
Felid: A Flexible and Efficient Design for Transformer Fine-Tuning over Encrypted Data
FELPS: Fair and Efficient Scheduling for Multi-LoRA Serving System
Fewer Tokens, Fewer Layers: Efficient Vision Token Pruning and On-Policy Distillation to Accelerate VLMs
Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement
Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models
Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
FinReasoning: A Hierarchical Benchmark for Reliable Financial Research Reporting
FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems
FISC: Time-Series Forecasting via First-Layer Statistical Calibration Constraints
FLARE: Verifying MILP Reformulations with LLM-Based Formal Proof Synthesis
FlashSSM-3D: A Distilled State Space Model for Lightning-Fast Dense 3D Reconstruction
FLIP: Fast and Accurate Global Lipschitz Estimation for Large Feedforward Networks
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
FlyingDrones: A Dataset and Benchmark for Optical Flow Estimation from UAV motion
FM-ChangeNet: Learning Change through Pathwise Feature Transport
FOAM: Factored One-sided Adam-Moment for Practical and Scalable SOAP
Forced Orders: What LLM Leaderboards Hide About Model Comparisons
ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
Foundation Pareto Flow Policy for Multi-Objective Reinforcement Learning
Fourier Contour Learning for Efficient and Traceable Cardiac MRI Quantification
FrequencyBooster: Advancing Pixel Diffusion for High-Fidelity Image Generation
From Average Sensitivity to Small-Loss Regret Bounds under Random-Order Model
From Clips to Streams: A Unified Framework for Streaming Sign Language Translation
From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
From I/O to Code with Discovery Agent
From Outcome to Representation: Tracing Reasoning Mechanisms through Integrated Policy Gradient
From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs
From Small to Large: Cross-Scale Graph Domain Adaptation via Local-Global Structural Alignment
From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation
From Squeezing to Grounding: Visual Guided DPO for Multimodal Hallucination Mitigation
From Tokens to Tactics: Adversarial Text Optimization in an Axis-Aligned Rhetorical Strategy Space for Harmful Content Detection
FuseAdapt: Adaptation-Space Fusion for Multi-Modal Semantic Segmentation with Missing Modalities
GEAR-Align: Grounding-Evidence-Aware Gradient Routing for Multimodal Alignment
GEMS-3D: A Large-Scale 3D Gravity, Electrical, Magnetic, and Seismic Earth Simulation Dataset for Multimodal Geophysical Learning
Generalizable Physics Simulation through Compositional Energy Minimization
Generation Navigator: A State-Aware Agentic Framework for Image Generation
Generative Actor-Critic with Soft Bridge Policies
GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation
Geometric Velocity Regularity for Flow Matching on Manifold-Concentrated Data
Geometry-Aware Zeroth-Order Optimization for Fine-Tuning Quantized LLMs
Geometry-Constrained Kolmogorov–Arnold Networks: Learning Edge Geometry via Banach Duality
Geometry Matters in Packed 3D Attention
GeoMIND: A Benchmark for Spatial Understanding in Robotic Manipulation
GeoRad-3D: Factorized Geometry Transport and Residual Radiometry for 3D Radar Nowcasting
GeoReason: Bridging Logical Reasoning and Spatial Fidelity in Remote Sensing Segmentation
gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
Glance Before You Tell: Anomaly-Guided 3D Radiology Report Generation with Heat-Conduction Slice Encoders
Global Context Guidance for Diffusion Large Language Models
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
GMO-E²DIT: Grounded Multi-Operation Editing for E-Commerce Images
GNES: Neural-Guided Evolutionary Program Search for Interpretable Multi-Agent Control
GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
Gradient Routing Localizes and Removes Unintended Behaviors in RL
Graph and Simplicial Complex Prediction Gaussian Process via Hodgelet Representations
Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning
Graph Topology Augmentation for Prioritized Sweeping in Non-stationary Reinforcement Learning
GraphUAT: Uncertainty Attribution in Graph Neural Networks
GraphWrit3R: End-to-End Writing of Scene Graphs for Multi-Modal 3D Scenes
Grounding Driving VLA via Inverse Kinematics
GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents
GUITAR: Structured Failure Diagnosis of GUI Agents via State Transitions
GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow
H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
HALO-VGGT: Heterogeneity-Aware Lightweight Online Compression Allocator for Efficient VGGT
HAMSTAR: Hamiltonian Structured Inter-Period Refinement for Long-Term Time Series Forecasting
Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO
Hearing the Unspoken: Simulator-Induced Asymmetric-View Policy Optimization for Proactive Task-Oriented Dialogue
HeMeR: Heterogeneous Memory Reconciliation for Embodied Agents via Structured KV Reuse
HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
Heteroscedastic Variational Last Layers
Hierarchical Regime-Conditioned Dynamics for Spatiotemporal Graphs
HierRR: Enhancing Instruction Alignment in Open-Vocabulary Indoor Scene Synthesis via Agentic Hierarchical Reasoning and Reflection
HiFloat4 Format for Language Model Pre-training on Ascend NPUs
High-Dimensional Learning Dynamics of Attention-Indexed Models
High dimensional theory of two-phase optimizers
Higher-Order Cell Tracking Transformer
HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
HIRaD: Hidden Interaction Inference from Predictive Radar Dynamics
HireWatch: Evaluating LLM Compliance with U.S. Employment Law Under Contextual Pressure
Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization
Holo4D: Holistic 4D Reconstruction as Geometric Control for Video Diffusion
HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation
Horizon Adaptive Offline Policy Learning via Value Stitching
How are linear representations learned? Exact solutions to the dynamics of abstraction
How Do Agentic LLMs Decide to Call Tools? A Scaffold Default Controlled by Suppression
How Do Language Models Compose Functions?
How Far Is Too Far? Object Recognition Declines Monotonically with Semantic Distance
How Likely Are Voting Rules Equitable?
How Much Evidence Should Retrieval-Augmented In-Context Learning Use Under Distribution Shift?
How to Train a Surgeon? Benchmarking Generalist Agents in Surgical Scene Understanding
HRIL: Isolating Multimodal Synergy via Higher-Order Dependence
HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip
HumanoidArena: Benchmarking Egocentric Hierarchical Whole-body Learning
HumanScore: Benchmarking Human Motions in Generated Videos
Hybrid Reinforcement Learning for One-step Degraded Infrared and Visible Image Fusion
HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere
HyrCap: Hybrid Rank-Calibration of Action Proposals for Temporal Event Understanding
IdealCache: Rethinking Cache Scheduling in Diffusion Transformers via Ideal Trajectories
Identified-Set Geometry of Distributional Model Extraction under Top-K Censored API Access
Implicit Value Probing: Inferring Human Value Preferences via Strategic Multi-Turn Conversations
Improved Regret Analysis For Parallel Gaussian Process Bandit Optimization
Improving Continual Video Instance Segmentation via Spatial-Temporal Balanced Mixture-of-Experts Adapters
Improving Flexible Image Tokenizers for Autoregressive Image Generation
Improving Neural Processes in the Low-Data Regime via Context-Subset Training and Self-Distillation
Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
Individuals Matter: Improving Deep Multi-View Clustering via Explicit Single-View Enhancement
Inferring Computational Structure from Neural Recordings with Gain-Modulated Linear Dynamical Systems
InfiniteVL: A Systematic Approach to Highly-Efficient, Ultra-Long Multimodal Understanding
Information-Theoretic Generalization Bounds for Sequential Decision Making
In STeP: Speculative Tensor Parallelism for Concurrent Heterogeneous Inference of LLMs
Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
IntentLens: Grounding Underspecified Multimodal Queries for Recommendation via Tool-Augmented Reasoning
Interpretable Multiway-Split Trees
Intervention-Guided Image-Free Classifier Expansion for Fine-Grained Recognition
Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
Inverting the Bellman Equation: From $Q$-Values to World Models
InvestigationWorlds: An Agentic Environment for Legal Investigation
Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
I-Perceive: A Foundation Model for Vision-Language Active Perception
IRCasDiff: Two-Stage Cascaded Diffusion for Compound Infrared Face Reconstruction
Irreducible Supervision Enables Compositional Generalization in Post-Training
Is a Linear Probe Evidence of a Linear Representation?
Is Dimensionality a Barrier for Retrieval Models?
Is Memorization Actually Necessary for Generalization
Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
Jointly Robust Fairness: Overcoming Simultaneous Label and Attribute Noise
K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
Keep or Preempt? Termination-Aware Scheduling for LLM Serving with Speculative Decoding
KernelDNA: Cross-Layer Kernel Sharing via Decoupled Neural Adapters
Kernel-Gradient Drifting Models
Kernelized Activation Steering
Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
Knocking-Heads Attention: Drop-in Shared Projections for Cross-Head Coordination
Knowledge Transfer Scaling Laws for 3D Medical Imaging
Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
KV Cache Compression via Attention Output Distortion Minimization
LAMP: Language-Modulated Geometric Preservation for Multi-Modal Object Re-Identification
Language Model Memory and Memory Models for Language
LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss
Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring
Large Language Models Develop Belief State Geometry In-Context
Large Language Model Selection with Limited Annotations
LARGO: Low-Rank Hypernetwork for Handling Missing Modalities
Latent Abstraction for Retrieval-Augmented Generation
Latent-Lens: Visual Perception in Small Language Models Through Latent Communication
Latent Refinement Decoding: Enhancing Diffusion Language Models by Refining Belief States
LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection
Leak-CURBER: A Leakage-Controlled Multimodal Evaluation Benchmark for Enzymatic Reaction Tasks
Learnable Diffusion-based Positional Encodings for Link Prediction
Learnable Spectral Activations
Learn from your own latents and not from tokens: A sample-complexity theory
Learning Agentic World Vision-Language-Action Models for Autonomous Driving
Learning Augmented Exact Exponential Algorithms
Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivariance
Learning Fine-Grained Vision-Language Alignment from Discriminative Part Descriptions
Learning Generalizable Hand-Object Tracking Control without Human Demonstrations
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation
Learning Informative Invariant Representations via Hierarchical Latent Decomposition
Learning Rate Transfer for Hybrid Transformer-SSM Architectures
Learning Reveals Invisible Structure in Low-Rank RNNs
Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty
Learning Scene-Grounded Interaction Priors for Scene-Aware Human Motion Prediction
Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting
Learning Survival Models with Right-Censored Reporting Delays
Learning to Audit ML Models with Theory of Mind
Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
Learning-to-Memorize: Dynamic Context Management for Long-Horizon Autoregressive Video Generation
Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
Learning to Recommend in Unknown Games
Learning to Surpass: Training Tool-Using Agents with Anchored Feedback
Learning Visual Speech Representations via Cross-Modal Distillation and Joint Face-Lip Modeling
Learning What to Forget: Improving LLM Unlearning via Learned Token-Level Importance
Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration
Learning Where It Matters: Geometric Anchoring for Robust Preference Alignment
LeCellModel: Interpretable Density Estimation over the Gene Expression Manifold
Leveraging unlabelled data for generalizable neural population decoding
LINC: Decoupling Local Consequence Scoring from Hidden Matching in Constructive Neural Routing
Linear Ensemble Sampling with Fewer Ensembles
LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
LLM-Auction: Generative Auction towards LLM-Native Advertising
LLM Flow Processes for Text-Conditioned Regression
LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration
LLM-WikiRace: A Benchmark for Planning and Reasoning over Real-World Knowledge Graphs
Local-Interaction Learning Dynamics: A Markov Random Field Framework for Convergence of Deep Neural Network Learning
LOCU: Löwdin-Orthogonalized Constraint Updates for Multi-Constraint Policy Optimization
Logit-Conditioned Diffusion Decoding for Frozen Discrete-Token VLMs
Long-Context Generation Is a Sampling Problem
LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models
M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection
M3-HNTM: Hyperspherical Multimodal Topic Modeling with Symbolic and Contextual Evidence
Making Open-Source Text LLM Watermarks Durable Against Merging
M*: A Modular, Extensible, Serving System for Multimodal Models
Manifold-Guided Stereo-Monocular Refinement for Endoscopic Stereo Disparity Estimation
ManiFusion: Unlocking High-Throughput Generation via Superposition in Manifold Space
Many Benign Errors are Better than A Few Severe Ones: Evaluating Hallucination Severity
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
MapShift: Controlled Post-Intervention Evaluation for Embodied World Models
Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems
MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
MARS: Multi-resolution Adaptive Routing for Sequential Recommendation
MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation
Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning
Masked Generative Pretraining Improves Cross-Dataset Transfer in Pixel-Space Diffusion
MCAS: Signal-Processing-Based Multi-View Contrastive Learning for Acoustic Sensing
MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents
Measuring Coherence in Predictive Models
Mechanistic Interpretability with Sparse Autoencoder Neural Operators
Medical LLMs as Medical World Models: Unified Policy-Dynamics Learning with Test-Time Search
MedIGen: Reliable Medical Illustration Generation via Interleaved Introspective Reasoning
MemeEconomy : Do LLM Agents Trade Ethics for Survival?
MEME: Lightweight Hierarchical Mixture-of-Experts for Unified Affective Computing
MEME: Multi-Entity & Evolving Memory Evaluation
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging
Memory-Efficient Federated Fine-Tuning of LLMs via Block-wise Progressive Training
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment
MEV: A Multi-Event Video Dataset for Long-Take Generation
MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph
MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis
MindShape: Superquadric-Constrained High-Fidelity 3D Reconstruction from fMRI
Mind the Parameters: Lightweight and Efficient Brain Visual Decoding with Shared Tensor Cores
Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM
Mitigating Overgeneralization in RND via Spectral Target Design
Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection
MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support
MobTA: Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
Model Collapse is a Singular Complexity Trajectory
MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenario
Motif-Mamba: network motif improved mamba for long-range sequence modeling
MSC-Mol: Modality-Synergy Contrasting for Multimodal Molecular Representation Learning
Multi-Level Alignment Framework for Long-Term Olfactory Neural Decoding
Multimodal AI Detection In Two Words
Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object
Multi-Oracle Agreement Reveals the Limits of Self-Consistency Evaluation in RNA Design
Multiple Instance Verification
Multiscale Microenvironment Vector Space Projection for Uncovering Diverse Pathological Biomarker
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
Multi-view Relational Distillation for Spatial Reasoning with Vision-Language Models
Mutual Predictability Decomposition: Learning Interpretable Cross-Set Structure via Bi-Directional Prediction
NanoFold: Designing Reproducible Protein Structure Benchmarks through Principled Sampling
NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning
Nature3D-AD: Geometry-Aware Feature Learning for Natural-Growth 3D Anomaly Detection
Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback
Near-Optimal Regret in Adversarial Kernel Bandits
Neural Circuit Architectural Priors for Rat Locomotion
Neural Compression of Long ADMM Trajectory for Multiparametric Quadratic Program
Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
Neural Operator-based Curriculum Learning for Physics-Informed Neural Networks
Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling
NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
Next Forcing: Causal World Modeling with Multi-Chunk Prediction
Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima
NIV: Neural Axis Variations for Variable Font Generation
NOFE – Neural Operator Function Embedding
Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models
Not All Layers Need Tuning: Selective Layer Restoration Recovers Diversity
Not Too Generative, Not Too Discriminative: The Human Alignment Sweet Spot
OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation
Offline Constrained Reinforcement Learning under Partial Data Coverage
Offloading Score: Measuring AI Reliance through Counterfactual Workflows
OmniMemBench: Towards Scalable Evaluation of Long-Term Omni-Modal Agent Memory
OmniToM: Benchmarking Theory of Mind in LLMs via Explicit Belief Modeling
On approximation and estimation of Schrödinger potentials without the curse of dimensionality
One Avatar, Any Budget: Robust LoD for Dynamic Gaussian Avatars
OneCanvas: 3D Scene Understanding via Panoramic Reprojection
One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought
One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
Online Allocation with Unknown Shared Supply
Online Control with Multiple Sensors
Online Localized Conformal Prediction
On Nash Equilibria in Participatory Budgeting with Donations and Beyond
On the Complexity of Discounted Robust MDPs with $L_p$ Uncertainty Sets
On the Necessity of Guidance Decay: From Three-Phase Analysis in Gaussian Mixture Models to Dynamic Optimization
On the Runway Cascade of Transformers for Language Modeling
OpenCoF: Learning to Reason Through Video Generation
Opponent Modeling in Incomplete-Information Continuous Colonel Blotto
Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets
Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries
Optimizing the Envy Cycle Elimination Algorithm
OrangeTree: A Linear and Tree-based Time Series Forecasting Model Supporting Multiple Input and Output Lengths
Orthogonal Origin Parking: Decoupling Lorentz Manifolds for Robust OOD Generalization
Orthogonal Sparse Subgraph Alignment for Structure-Function Coupling in Brain Networks
Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization
Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
P$^{3}$: Joint Program-and-Proof Planning\\ for Verified Code Generation
PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
Pairwise AUC Optimization Needs Corrective Power: A Unified View
PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
Paradoxes of Game Theoretic Equilibria and Price of Anarchy
Parallel Broyden methods for efficiently evaluating nonlinear state space models
ParallelKernelBench: Can LLMs Write Fast Multi-GPU Kernels?
Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
PatchKV: Weight Space Compensation of KV Cache
PatchScout: Thematic Web Data Collection via Information Foraging
PCBInnoBench: Benchmarking LLM Agents on Real-World PCB Design
PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
Permanent and Transient Representations for Continual Reinforcement Learning
Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
Phantom Transfer: Data Poisoning can Survive Data-Level Defences
Phases of Muon: When Muon Eclipses SignSGD
Phase Space Attention: A Hairer Lift Resolves the Single-Layer Induction Obstruction
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
PINNeval: A Comprehensive Evaluation Standard for Physics-Informed Neural Networks
PixelART: Image-to-Layer Decomposition without Latents or Text-to-Image Pretraining
PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
Pixel-space Autoregressive Image Synthesis via Spectrum Serialization and Flow-based Refinement
Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
Point-to-Manifold Geometry: Flexibly Overcoming the Curse of Dimensionality in Neural Computational Units
Point Tracking Improves World Action Models
Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences
PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
PolyVision: Conditional Visual Scaling Via Dynamic Expert Routing For Vision-Centric MLLMs
Pooling Versus Ensembling for Ridge Regression Under Covariate Shift
PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
Position: Adopt Constraints Over Fixed Penalties in Deep Learning
Position: Machine Learning Models for Reaction Transition States Deserve Better
Position Without Positional Embeddings: A Directional Mechanism in NoPE Transformers
Posterior-First Neural PDE Simulation: Inferring Hidden Problem State from a Single Field
POST: Progressive Object-Slot Tokenization for Multimodal Large Language Models
PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation
PP-Mark: Provable and Publicly Verifiable Watermarking for Generative AI
Preconditioned Flow Matching
Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
PreDiff: Sequential Recommendation by Denoising Preference Distributions
PREPING: Building Agent Memory without Tasks
PRIME: A Modular Approach for Private Synthetic Data
Principled Design of Diffusion-based Optimizers for Inverse Problems
Principled Policy Optimization for LLMs via Self-Normalized Importance Sampling
Prism: Harmonizing Missing Modalities via Implicit Structural Alignment on Lightweight Pulse RWKV for Multimodal Crack Segmentation
PriSM: Prior-guided Shared-basis Mixture Personalization for LLMs under Sparse User Histories
PRISM: Spectral Pruning and Reconstruction for Parameter-Efficient Model Merging of MLLMs
Private Online Prediction from Experts with Small Losses
ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference
Progressive Layer-wise Supervision: Deep-to-Shallow Supervision Annealing for Efficient and Robust Speech Deepfake Detection
Progressive Memory Transformer: Memory-Aware Attention for Time-Series
Progressive Pseudo-label Self-balancing Towards Unsupervised Vision-Language Models Adaptation
ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
PROTEUS: A Self-Evolving Red Team with Surface Expansion for Agent Skill Ecosystems
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets
Provably Reliable Classifier Guidance via Cross-Entropy Control
Provably Safe, Yet Performant Reinforcement Learning
PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders
Q-CoMove: Differentiable Quantum Circuit Priors for Coordinated Motion in Multi-Component Embodied Systems
Q-Focus: Let the Question Guide What to See in Long Videos
Q-Residual Physics: Hamiltonian-Structured Quantum Residual Learning for Embodied Dynamics
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
Quantile Geometry Regularization for Distributional Reinforcement Learning
Query-Limited Community Recovery in Stochastic Block Models
RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain
RadarFlowPose: Vision-Inspired Coarse-to-Fine Skeleton Refinement with Flow Matching
RADAR: Relative Angular Divergence Across Representations
Random-Effects Centroids for Domain Generalization
RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
RANSAC Scoring Done Right
RAPTOR: Ridge-Adaptive Logistic Probes
Rationale-Guided Policy Optimization: Learning to Reason with Adaptive Rationale Scaffolding
RCSTAT: A Statistical Framework of Relative Contextualization in Transformers
REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers
Reading Attribution from Attention: Evidence Heads as Latent Attribution Mechanisms in LLMs
Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation
Real In, Real Out: What If We Only Use Real Data for Scene Text Editing?
REAL-MED: Benchmarking LLM Agents on Real-World Medical Tasks
Real-World Dual-Pixel Raindrop Removal: A New Benchmark and Degradation-Adaptive RWKV Baseline
Reasoning-based Spatial Prior (RSP): Learning Spatial Priors from Multimodal LLMs for Object Detection
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Reasoning with Undecoded Tokens in Diffusion Language Models
Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMs
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Recovering the Apresjan Hierarchy Using Linkage-Based Clustering
Rectified Policy Rollouts with Hierarchical Expert Guidance for Neural Combinatorial Optimization
Re-examining Low Rank adaptation for private LLM fine-tuning
Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias
ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
ReFPO: Reflow Regularization for Flow Matching Policy Gradients
ReGen: Agentic Video World Modeling with Synergized Reasoning and Generation
ReGenHuman: Re-Generating Human Appearances for Realistic Full-Body Video Anonymization
Regret-Based $(\epsilon,\delta)$-optimal Stopping Criteria for Bayesian Optimization
Reinforcement Learning Agents Are Swimmers
Reinforcement Learning-Guided Symbolic Execution for Efficient and Exploitable Smart Contract Analysis
RelAgent: LLM Agents as Data Scientists for Relational Learning
Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
Remote Photoplethysmography Based on a Skin Reflection Exponential Model
Rennala-NSGD: Asynchronous Stochastic Optimization Beyond Euclidean Geometry
RePiD: Efficient Recursive Pixel-Space Diffusion via Hierarchical Patch Denoising
Replicability is Asymptotically Free in Multi-armed Bandits
Representation Learning Enables Scalable Multitask Deep Reinforcement Learning
Requential Coding: Measuring Model Compressibility by Coding Data Instead of Parameters
RESBev: Making BEV Perception More Robust
RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
ReSMap: Recasting Satellite Priors for Robust and Accurate Online HD Map Construction
Resolution-Aware Structural Density Peak Clustering
Resolving Time-Frequency Ridge Crossings via Frequency-Rate Lifting
Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory
Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC
Rethinking Infrared Small Target Detection: A Foundation Driven Efficient Paradigm
Rethinking Parallel Multi-Agent Systems: A Cost-Aware Framework for Efficient Coordination
Rethinking Projector Training in Multimodal LLMs
Rethinking "RL Generalizes, SFT Memorizes": The Role of SFT Data
Rethinking Sequential Locate-Then-Edit: Optimality and Stability
Rethinking Softmax Attention: Polynomial Activations for Transformers
Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking
Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation
R-GRec: Relation-Guided Generative Recommendation via Collaborative Graph Supervision
RheoSampling: Resolving the One-Hot Dilemma in Stochastic Dynamic-Tree Speculative Decoding
RiboC2F: Pose-First Coarse-to-Fine Flow Matching for Protein-Conditioned RNA Co-Design
RIGOR: Risk-Gated Topology Adaptation for Robust LLM Multi-Agent Reasoning
RISE-Video: Can Video Generators Decode Implicit World Rules?
Robust Concept Unlearning in Diffusion Models via Directional Stability Regularization
Robust Conditional Conformal Prediction via Branched Normalizing Flow
Robust Latent Space Bayesian Optimization with Marginalized Kernel
Robust Multi-view Clustering against Imperfect Information
Robust Residual Correction via Selective Deployment for Time Series Forecasting
Robust Reversible Recovery for Adversarially Protected JPEG Images
Rollout Pass-Rate Control: Steering Binary-Reward RL Toward Its Most Informative Regime
RoPE Is Not a Proper Relative Position Embedding
Rotation-Invariant Vector Normalization for Molecular Force Learning
RotVLA: Rotational Latent Action for Vision-Language-Action Model
Route-Consistent Adaptation for Stable Quantization of Mixture-of-Experts Models with Theoretical Guarantees
RPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagery
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-𝑁 Ranking
Rubric-Align: Safety Alignment through Dynamically Co-Evolving Rubrics
RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation
S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning
Safe Active Learning with Future Viability Guarantees in Time-Series Models
Safe Evolution with Circuit Anchors
Safe-Fair MACPO: Burden-Fair Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning
Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails
SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology
SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis
SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking
Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching
Scalable Token-Level Hallucination Detection in Large Language Models
Scaling Limits of Long-Context Transformers
Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers
Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
Scattered by Design: Why Per-Output Pruning Resists Structured Compression
SCG-HF: Semantic Consistency Grouping for Hierarchical Fusion in Video Emotion Recognition
SCHOLARPEER: A Multi-Agent Framework for Automated Peer Review
scMAF: Single-Cell Multi-Omics Clustering via Adaptive Modality Fusion
ScrapeBench: Evaluating Legal Compliance of AI Agents in Website Scraping
Search-Tree Scaling in Parallel Monte Carlo Tree Search
Seed-Your-Motion: Householder Orthogonal Noise for Motion-Controllable Video Diffusion Models
Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images
Seeing Is Not Screening: Multimodal Hidden Instruction Attacks on Agent Skill Scanners
Selected-Tail Reliability in Verifier-Guided Best-of-$N$ Inference
SelfCritic-VLA: Language as Intrinsic Critic for Vision Language Action Models in Autonomous Driving
Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
Self-Programmed Execution for Language-Model Agents
Semantic Concept Steering Breaks the Explanation Drift Loop in Continual Learning
Semantic-Statistical Prior Banks for Federated Low-Shot Learning under Non-IID Clients
Semantics-to-Contact: A Stagewise Framework for Robust Contact-Rich Manipulation
Senses Wide Shut: A Representation-Action Gap in Omnimodal LLMs
SeqDiCO: Sequence-oriented Diffusion for Scale-Generalizable Neural Combinatorial Optimization
Sequence-to-Sequence Modeling with Camera-Induced Priors for Multi-View Stereo
Sequential Membership Inference Attacks
SFPR: Structural Fingerprinting for LiDAR-to-OpenStreetMap Place Recognition
SGNNBench: A Holistic Evaluation of Spiking Graph Neural Networks on Large-scale Graphs
Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
Short-Context Dominance: How Much Local Context Natural Language Actually Needs?
Simplicity is Enough: ReAct Agents for Prompt Optimization
SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization
Simulating Human Memory with Language Models
Single Shot HDR Recovery via a Video Diffusion Prior
Skill-Adaptive Noise Scheduling for Diffusion Policies
SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking
SLiDE: Structured Linear Dynamics for Forecasting with Exogenous Inputs
Slower Generalization, Faster Memorization: A Sweet Spot in Algorithmic Learning
Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation
SoccerNarrate: Event-Grounded Streaming Soccer Commentary with Macro-Window Preference Alignment
SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
Solving Every Step Is Not Enough: Milestone Oracles Reveal a Composition Gap in LLM Math Reasoning
Sparse Biological Features Reveal Early Functional Commitment in Diffusion Protein Language Models
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems
Sparsely Supervised Diffusion
Sparse Planning in Visual World Models via Cost Gradients
Spectral Asymptotics of Neural Network Jacobians: Convergency, Universality, and Phase Transition
Spectral Degeneration of Softmax Attention under Isotropic Score Geometry
SpectralKV: Redundancy-Aware KV Cache Compression via Spectral Coreset Selection
Spherical Flows for Sampling Categorical Data
Spik-NeRF v2: Pushing the Limit of Spiking Neural Radiance Fields with $ \pm $I-LIF
SPLICE: Structured Prompt Local Iterative Combinatorial Evolution
Split-and-scale Latent 3D Representations
Split Then Select: Moment-Preserving Density Control for Generalized Primitive Splatting
SSDGExplainer: Structure-Semantic Dual-Guided Explainer for Graph Neural Networks
SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs
Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
Stabilizing Few-Shot Object Detection with Language-Conditioned Probabilistic Prototypes
Stabilizing the Dynamic Low-Rank Training
Stable Alpha: Adversarial Invariant Representation Learning for Nonlinear Asset Pricing under Temporal Distribution Shifts
StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
StainNFT: Curriculum-Gated Multi-Reward Post-Training for Pathology-Faithful Virtual Staining
Standardization of Post-Publication Code Verification is Possible with the Support of the Community
STAR: Boosting Time Series Foundation Models for Anomaly Detection Through State-Aware Adapter
State Copying Crowds Out Reasoning: Mechanistic Evidence for Delta Planning in Autoregressive Models
ST-DiffEye: Diffusion-based Continuous Gaze Generation via Joint Scanpath-Trajectory Modeling
SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting
STEER: Route-Aware Adaptive Reasoning for Autonomous Driving
STEP: Learning STructured Embeddings for Progressive Time Series
Step-wise Rubric Rewards for LLM Reasoning
STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs
STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation
STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning
Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs
Strong Stochastic Flow Maps
Structural Support Certificates for Mechanistic Hypothesis Selection
Structured State-Space Regularization for Generation-Friendly Image Tokenization
Structure-Prompted Multimodal Protein Language Model for Preference-Aligned Fitness Prediction
Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
Structure, Subspace and System: Push the Real Limit of Extremely Low-Bit Quantization for MoE-LLMs
StylePlan: Style-Conditioned Intent Planning for Zero-Shot Coordination
Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment
Subliminal Learning Is Steering Vector Distillation
SUPERVISE: A Unified Framework for Standardized and Reproducible Superpixel Evaluation
Sustainability in the Loop: AI Model Development Should Be Multi-Objective
SWE-GPU-Bench: Can Language Models Solve Real-World GPU Software Engineering Tasks?
SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass
SymDrift: One-Shot Generative Modeling under Symmetries
SynBench: A Benchmark for Differentially Private Text Generation
SynerVLA: Exploiting Embodied Execution Phases for On-Device Dual-System VLA Acceleration
SynGeo: Synergizing Seeing and Proving through Revisable Geometric States
T2V-AttnDisrupt: Inducing Hallucinations in LVLMs via Misrouting Visual Evidence Retrieval
TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
Tactile MNIST: Benchmarking Active Tactile Perception
TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering
TailAdapt: Heavy-Tailed Sparse Variational Adaptation for Long-Tailed Class Incremental Learning
Tail-Risk-Aware Stackelberg Learning
Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement
Task-Induced Riemannian Metrics for Vision Transformer Feature Spaces
Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning
Teaching VLMs What to Say, Not How to Reason: Rethinking Counterfactual Reasoning in Autonomous Driving
TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
Temperature Guidance For Robust Reward Conditioning In Diffusion Planning
Test-time Multi-agent Coordination by Decomposed Value Gradient Flow
The Alternation Depth Principle for Neural Operator Design
The Design Space of Tri-Modal Masked Diffusion Models
The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks
The Foundation Model Transparency Index
The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
The Hidden Ratio in Adam: Stable Structure, Compression, and Sign Dynamics
The Laplacian Keyboard: Beyond the Linear Span
The Marauder’s Map: Bézier Manifolds Reveal Hidden Surfaces for Model Merging and Ensembling
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
The Multiscale Single-Index Model: A Toy Model for Hierarchical Feature Learning
The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation
The Scaling Paradox of Tool-Calling LLM Agents Under Realistic MCP Faults
The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility
The Symmetries of Three-Layer ReLU Networks
The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
The VLM as Sensor: Bayesian Active Search for Long Video Understanding
Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation
Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models
TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
TimeOperator: A Function-to-Function Approach to Time Series Modeling
Time series analysis with Gumbel dynamics
TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization
TOM-Pruning: Target-aware Output Manifold for LLM Pruning
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
Top-$k$ Identification with Correlated Biased LLM Judges via Anchor Leverage
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
Toward Online Robust Zero-Sum Markov Games with Function Approximation
Towards Effective and Transferable Physical Camouflage against Multi-View BEV-based 3D Perception in Autonomous Driving
Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
TraceSim: A Generative Simulator and Benchmark for Joint scRNA-seq and Lineage Tracing
Tracing Persona Vectors Through LLM Pretraining
Trading Sensing for Structure: Sparse IMU-EMG Fingertip Force Estimation via Neuro-inspired Structured Modeling
Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
Training Language Models via Neural Cellular Automata
Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning
Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks
TrajLift: Encoding Verbal Memory Dynamics via Heat Diffusion on Semantic Hierarchies
Transferable SCF-Acceleration through Solver-Aligned Initialization Learning
Treating Hyperparameters as Interventions: Task-Invariant Representation Learning for Transferable HPO
TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decoding
TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
Trust Region Policy Distillation
TSFM Meets LLM: Context as Covariate
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Tuning the Tuner
TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing
UGO: Unified Architecture for General Multi-Object Tracking by Segmentation
UltraFlash: Accelerating Megapixel Visual Synthesis
Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
Understanding Layer Patching in Model Size Interpolation
Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
Understanding the Convergence of Direct Training of SNNs with Surrogate Gradients
UniCon3R: Unified Contact-aware 4D Human-Scene Reconstruction from Monocular Video
UniCustom: Unified Visual Conditioning for Multi-reference Image Generation
Unified Panoramic Geometry Estimation via Multi-View Foundation Models
Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees
UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?
Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
Value-Priced Uncertainty: A Family of PPO-Compatible Exploration Bonuses
Variational Monte Carlo for Quantum Excited States via Nested Low-Rank Approximation
VecDBLens: A Modular Framework for Diagnosing Vector Databases Retrieval Pipelines
Vendi Anomaly Scores for Efficient and Accurate Anomaly Detection
Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization
Verifying Agents in Rubric-Graded Environments
VeriScope: Measuring Verification-Ready Verilog Artifacts
Veri-Sure: Multi-Agent RTL Code Generation with Temporal Tracing, Slicing and Formal Verification
VeriVul: A Verification-Guided Framework for Generating Realistic Vulnerability Benchmarks
Vermeer: Autoregressive generative modeling of microscopy predicts protein localization
VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation
VI-Bench: Benchmarking Prompt Inversion from AIGC Videos
VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Tokens
Video-Mirai: Autoregressive Video Diffusion Models Need Foresight
VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding
VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic Model
VisionCreator-S1: Evolving Visual-Generation Agents via Skill-GRPO Optimization
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
Visual Expert Skipping for MoE-MLLMs via K-Armed Bandit based Expert Estimation
VocalGrad: Evaluating Acoustic Perception in Audio Language Models
Voice "Cloning" Is Actually Style Transfer
WaveletLoRA: Frequency-Aware Content-Style Decomposition for Personalized Image Generation
WAXAL: A Large-Scale Multilingual African Language Speech Corpus
Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
What do EEG Foundation Models Capture from Human Brain Signals?
What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach
What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective
What Gets Measured Gets Managed: Sign-aware Recommendation Needs Sign-aware Evaluation
What Remains in Sight? Autoregressive Video Decoding as Representation-Guided Context Rewriting
What Transformer FFNs Never See: Theory, Diagnosis, and Lightweight Remediation
What Was That Again? Certified Robustness for Automatic Speech Recognition
When and Why Does Multi-Agent Debate Fail and Does It Really Underperform?
When Can Digital Personas Reliably Approximate Human Survey Findings?
When Catastrophic Inheritance Meets Forgetting in Continual Adaptation of Foundation Models
When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
When Does Structure Help? Statistical Tradeoffs for Structured Reverse Processes in Diffusion Large Language Models
When Edge Independence Fails: Joint Graph Diffusion with Latent Sociability Priors
When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement
When Medical VLMs Stop Understanding: MedTEC-Bench for Probing Semantic Specificity
When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback
Which Pairs Should We Compare for DPO?
Who Should Evolve? Uncertainty-Aware Role Bottleneck Inference for Multi-Agent LLM Training
Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
Why DiT Models Underperform as Representation Learners without Long Skip Connections
Why Learning Rediscovers the Closed-Form Diagonal Regularizer
Why Speculative Decoding Works Better Than Predicted on Sparse MoE Models
Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes
World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors
WorldVLA: A Unified Vision-Language-Action and World Model
WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps
XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding
XTC: Head-Aware Sampling by Excluding Top Choices
XTraj: A Coarse-to-Fine Autoregressive Framework for Transferable Trajectory Generation
ZetaEvolve: Learning to Search through History-Conditioned Potential Value
AI and Data Science for Her: Training the Next Generation of High School Girls in Nigeria
The Voice-Native Classroom: Multilingual AI Co-Teachers for Global ML Education
DTCH Digital Turcologist Bootcamp: Evidence-First, Evaluation-First AI/ML for Under-Resourced Historical Turkic Languages and Cultural Heritage Data
The 100x Challenge: Compression-First Research Pipeline for Bandwidth-Constrained Regions
FATE-AI: Futures of Agriculture, Technology, and Ecology in Artificial Intelligence
Wikair (Student-Led Nonprofit), a Global, Youth-Led, Interdisciplinary AI Education Program
(ends 8:00 PM)
7 p.m.

THU 10 DEC
8 a.m.
MLRC 2026 [8:00-5:00]
(ends 5:00 PM)
8:30 a.m.
Break:
Coffee
(ends 9:00 AM)
9 a.m.
Sydney Invited Talk:
The Knowledge Box: AI and Epistemic Dispossession
Shannon Vallor
(ends 10:00 AM)
10 a.m.
Break:
Coffee & Snacks
(ends 10:30 AM)
Sydney Poster Session 5 [10:00-1:00]
Posters 10:00-1:00
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Achieving Directional-Stationarity from a Single Random Direction Step
A Closer Look at Dynamic Scene Graph Generation in the Era of Multimodal Large Language Models
A Composite Activation Function for Learning Stable Binary Representations
A Computational Perspective to Data Ablation Experiments
Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation
Adaptive Entropy-Sparing for Efficient Reasoning
Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation
AdaSRU: Adaptive Source-Free Recommendation Unlearning via Gradient-Constrained Optimization
Ad-Hoc Teamwork from Human Demonstrations
Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens
AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
A Favorable Regime Between ODE and SDE for Few-Step Diffusion Sampling
A Foundational Model System for Datacenter Machine Repairs
A Generative Model of Contextual Integrity: Appropriate vs. Inappropriate Information Sharing
Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
Agentic AI Design Should be Mediated to Promote Social Welfare
Agentic Geometry Problem Solving via Human-like Parallel Bidirectional Reasoning
Agentic-imodels: Evolving agentic interpretability tools via autoresearch
Agent Security is a Systems Problem
AgentVista: Evaluating Multimodal Agent in Ultra-Challenging Realistic Visual Scenarios
Aggregation Dispersion: An Information-Geometric Diagnostic of Oversmoothing in Graph Neural Networks
Agnostic Language Identification and Generation
A Graph Foundation Model for Unified Clustering
Agree to Disagree: Multimodal Autonomous Negotiation and Calibration for Entity Representation Learning
AgriManager: A Framework and Benchmark for LLM-RL Generalization in Agricultural Management
AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
AI Models Can Provably Hide Arbitrary Capabilities
Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions
Alignment Dynamics in LLM Fine-Tuning
Allocentric Perceiver: Disentangling Allocentric Reasoning from Egocentric Visual Priors via Frame Instantiation
AmbiguousWorld: Benchmarking and Resolving Ambiguous Instructions in Video World Models
A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
AMUSE: Anytime Muon with Stable Gradient Evaluation
Anatomy-aware Spatio-Temporal Modeling for Echocardiography Segmentation
An Efficient Geometric Characterization of Robust Fair Learning
Angular Networks: Low-Bit Learning from Randomized Similarity Estimators
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
AnyEdit: A Unified Framework for Speech and Singing Voice Editing with Real-World Environmental Consistency
AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
ApertureAttn: Native 4K Video Generation with Image-Only Supervision
Are Well-Trained Surrogates Optimal? Rethinking the Surrogate Role with Instability for Unlearnable Examples
Are Your Reasoning Models Reasoning or Guessing? A Mechanistic Analysis of Hierarchical Reasoning Models
ASAP: Attention Sink Anchored Pruning
A Scalable Multi-Task Model for Virtual Sensors
Assign and Add: A Mechanistic Study of Compositional Arithmetic
Assistive Dueling Bandits: No-Regret Algorithms for Assisting No-Regret Users
Asymmetric Flow Models
Asymmetric Hierarchical Anchoring for Robust Audio–Visual Cross-Modal Generalization
A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
ATLAS: Adaptive Temporal Learning for Single-Cell Multi-Omics Alignment and Dynamics
AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
Attack Selection In Agentic AI Control Evaluations Meaningfully Decreases Safety
Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
AudioAgentBench: Evaluating Multi-Turn Voice Agents on Real-World Tasks
A Unified Theoretical Framework for Task Recognition and Task Learning in In-Context Learning
AURA: An Autonomous Retouching Agent with Photographic Visual Thinking
Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents
Automated Causal Effect Estimation through Self-Evolving AI
Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting
BA-T: An Iterative Transformer for Two-View Bundle Adjustment
BayesAT: Bayes-Guided Progressive Distillation for Semi-Supervised Adversarial Training
Bayesian Causal Experimental Design for CATE Estimation under Noncompliance
BeamWitness: Rooted Subgraph Beam Search for Selective Graph Representation Learning
Benchmarking Membership Privacy Risks in Preference-Based LLM Post-Training
Benign Reinforcement Learning Can Amplify Latent Backdoors
Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
Beyond Flat Frames: Hierarchical Graph Reasoning for Long Video Understanding
Beyond FLOPs: Train-Full, Deploy-Partial Multi-Exit Inference via Selective Lightweight IC Ensemble
Beyond Linear Decoders: Dynamic Expert-Coupled Optimal Decoding for Time Series Forecasting
Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
Beyond Spatial and Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction
B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode
Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
BLARM: Animating 3D Objects from Video via Blending LAtent Rigid Motion Primitives
Blind-Window Forecasting: Real-Time Benchmarking and Multimodal Reconstruction for Tropical Cyclones
Block Sphere Vector Quantization
BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics
Breaking the $\sqrt{d}$ Communication Barrier in Federated Sampling with Adaptive Hamiltonian Monte Carlo
Breaking the Synthesis Barrier for AI-Designed DNA Libraries
Bridging Graph Worlds: Neural Approximation of Gromov-Wasserstein Distances
BSO: Safety Alignment Is Density Ratio Matching
Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning
Can Ideologues Agree on Quality? From Non-identifiable Latent Factors to Collective Outcomes
Can In-Context Learning Support Intrinsic Curiosity?
Cannistraci-Hebb Channel-wise Dynamic Sparse Training of Convolutional Neural Networks with Contextual Modulation
Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
CARVE: Counterfactual Video Editing for Auditing and Hardening Video Detectors
CasePlay: Self-Play Reinforcement Learning from Case Reports for Medical Reasoning
CAST: Certifiable Aggregation of Smoothed Teachers for Robust Policy Adaptation
Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
CausalConflictBench: Can Multimodal Models Follow Local Mechanisms That Conflict with Commonsense?
Causal Discovery over Clusters of Variables in Non-Markovian Systems
Causal Discovery with False Positive Error Control
Causal Effect Identification with a Single Agnostic Proxy
CausalMix: Data Mixture as Causal Inference for Language Model Training
CEO-Bench: Can Agents Play the Long Game?
Certification-Enhanced Generalization Bounds
Chain-of-Correction: Progress-Aware Policy Steering via Anchor-Grounded Predictive Reasoning
Change-Robust Online Topological Memory for Long-Term Relocalization and Semantic Navigation
Channel-wise Vector Quantization
Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation
Chatter Attack: Resource Consumption Attack for Large Language Models
Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
CineMME: Benchmarking Fine-Grained Perception and Plot Reasoning in Multimodal Large Language Models
CIPHERGRID Benchmark: From Multimodal Rule Inference to Sequential Action
Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
ClinStab: Stability-Oriented Learning for Medical Time Series via Dual-Stream Alignment
CLUE: Closing the Loop on Conflict and Collapse in LLM Unlearning
CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
Coarse-to-Refine: Trajectory Self-Refinement in Single Autoregressive Pass for Driving VLA
COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning
CogArena: Benchmarking Multimodal Agents on Interactive Behavioral Experiments
CoLa3D: Composable Latent 3D Decomposition
COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
Collective Supervision for Unified Biomolecular Conformation and Dynamics Modeling with CoDyna
ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
COMET: Decoupled Distillation, Routing, and Capacity Control for Task-Agnostic Continual Vision--Language Learning
Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
CompactSplat: Spatially Adaptive Gaussian Distribution for Feedforward Scene Reconstruction
Comparing Linear Regions in ReLU-Type Networks: Theory and Monte Carlo Methods
COMPASS: Composable Policy-Amortized Structured Search for LLM-Based Optimization Modeling
Compatible Likelihoods for Flow Matching on Manifolds
CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation
Concept frustration: Aligning human concepts and machine representations
Concise Reasoning Through the Lens of Lagrangian Optimization
CondenseVLA: Learnable History Condensation for Efficient Multi-Frame VLA
Conditional Evaluation of Language Models with Cheap Auxiliary Signals
Consistency-Preserving Concept Erasure via Unsafe–Safe Pairing and Directional Fisher-weighted Adaptation
Contextual Flow Matching for High-quality Visual Content Generation
Context Value Informed In-Context Reinforcement Learning
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
ContinuLoc: Continuous Pose Inference over Neural Fields for UAV Geo-Localization
Continuous Audio Thinking for Large Audio Language Models
Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
Contractive Restoring Flows: Robust Reasoning Distillation via Orbital Stability
Control First, Robustness Next: Decoupled Representation Learning for Visual RL Generalization
ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling
ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text
Controllable User Simulation
ControlSVG: Exploring Controllable SVG Generation with Autoregressive Models
Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit
Cool Graphs: Active Property Search Towards Quantum Nano-Refrigerators
Coordination Connectivity: Shared Initialization Shapes the Joint-Policy Landscape in MARL
CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents
CoT-Guard: Small Models for Strong Monitoring
Counterfactual Estimation under Composite Treatments via Progressive Distribution Alignment
CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
Coupling-Aware Reinforcement Learning for Co-Evolving Graph Games
Crafter: Towards Automated Reproducible Machine Learning via Agentic Code Generation
CREF: Forecasting Benchmarks for the Age of Agents
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets
Cross-Channel Agreement Beats Consensus: Compositional Verification for Geometry Reasoning
Cross-Modal Prior-Guided Training with Visual Foundation Models for Unsupervised LiDAR Point Cloud Registration
CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
CuBic: Curvature-Driven Dynamic Inference Caching for Fast, High-Fidelity Flow Matching
CURE: Counterfactual Unsafe-token Re-masking for Diffusion Large Language Model Test-time Alignment
Curriculum Learning for Safety Alignment
CUVET: A Partitioning Approach for Continuous Treatment Assignment At Scale
CWAGraph: Retrieving What Was Never Explicitly Identified in Graph-Based RAG
CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation
DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
DART: Zero-Shot Dual-Side Alignment Routing for LLM Performance-Cost Tradeoffs
DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
DataComp-VLM: Improved open datasets for Vision-Language Models
Data-Efficient Learning for Constraint Satisfaction Problems via Relational Biases and Hard Axiom Clamping
Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
Dataset Distillation via Drifting
DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
Decentralized Multi-Goal Multi-Agent Pathfinding with Spatial Prior and Neighbor Intent Prediction
Decision Path Tracing for Causal Analysis in Transformers
Decoding the Critique Mechanism in Large Reasoning Models
DecompDreamer: A Composition-Aware Curriculum for Structured 3D Asset Generation
Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics
Decoupled Complementary Fields on 3D Gaussian Maps for Embodied Navigation and Reasoning
Decoupling Conversational Dynamics in Full-Duplex Spoken Models through Reinforcement Learning
Decoupling Time and Risk: Risk-Sensitive Reinforcement Learning with General Discounting
Deep Double Q-learning
Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes
Deep Minds and Shallow Probes
DeFlow: Decoupling Behavior-Prior Modeling and Value Maximization for Offline Policy Extraction
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning
Déjà View: Looping Transformers for Multi-View 3D Reconstruction
Delightful Distributed Policy Gradient
DELTA-TTS: Adapting Autoregressive Model into a Diffusion Language Model for Text-to-Speech
DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images
Depth through Recurrence: Towards Ultra-Efficient On-Device ASR
D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
Diagnosing and Correcting Bias in MLLM for Long Video Understanding
Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules
Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty Aware Differentiable Optimization
Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
Differentiable Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
Differentially Private Model Merging
Diffusion-Enhanced GFlowNet for Solving Vehicle Routing Problems
Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
Diffusion Models without Classifier-free Guidance
Diffusion Thinking for Fast Long-Form Spatial Reasoning in Vision--Language Models
DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation
DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
DiPhon: Diffusion on Graphons for Scalable Graph Generation
DIS-Bench: Evaluating LLMs on System Testing via Directed Input Synthesis
Discovering dynamical parameters of synthetic multicellular systems from image sequences
Discrete Langevin-Inspired Posterior Sampling
Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors
Disentangled Representation Learning via Flow Matching
Disentanglement as Identifiable Pushforward Factorisation
Disentangling Channel Semantics in Vision Transformers via Token Decorrelation and Composition-Aware Modulation
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts
Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation
Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
Diversity Combining for Multi-Path LLM Reasoning
DocAtlas: Long-Document Understanding as Mutable-State Interaction
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
DPLC: Dirichlet Process Guided Long-tail Clustering
Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields
DRILL: Training World Models to Improve Policies, Not Predict Pixels
DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
DrPO: Drifting Preference Optimization for One-Step Generative Models
dStructAD: Domain-Level Structured Normality Representation with Variation Calibration for Time Series Anomaly Detection
DUST: Directional Uncertainty-aware and Scale-invariant Transfer Learning
Dynamic Representation Modeling for Federated Medical Image Domain Generalization
Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion
E0: Expressive Fine-Grained Discrete Action Prediction for Vision-Language-Action Models via Tweedie Discrete Diffusion
EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields
Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs
ECLIPSE: A Spacecraft Rendezvous Trajectories Dataset with Controlled In-Orbit Lighting Conditions
EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents
EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies
EditFlowSR: Revisable Expression Generation for Symbolic Regression
EDMA: Entropy-Driven Multimodal Answering
Effect-Driven Skill Abstractions for Offline Reinforcement Learning
Effectiveness of Curriculum Learning Depends on Reward Sparsity and Competing Optima
Efficient Adaptive Data Analysis over Dense Data Distributions
Efficient Agentic GPU Kernel Optimization with a Compact Domain-Specific Language and Speed-of-Light Guidance
Efficient and Simple Data Mixing All The Time
Efficient Brain-to-Speech Decoding with Fixed-Delay Spiking Neural Networks
Efficient Pre-Training with Token Superposition
Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
Efficient Training of Deep Spiking Neural Networks with Input-Driven Derivative-Free Updates
Efficient Tree Draft for Long-Context Speculative Decoding
EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues
EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
ELF: Embedded Language Flows
Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot
Emergence of a Shared Canonical Object Frame from In-the-Wild Videos
Emergent Biological Capabilities in a Foundation Model for Molecular Interactions
EmoPhone: A Multi-Wave Dataset for In-the-Wild Mobile and Wearable Affect Sensing
Empirical Bayes Flow Matching for Continuous Cryo-EM Heterogeneity
Empirical regularities in subjective decision-making by LLMs
Empowering Masked Diffusion Models to Self-Correct with Leave-One-Out Transformers
Energy Is All We Need: Beyond FLOPs in Model-Heterogeneous Federated Learning
Enhancing LLMs with Cognitive-Affective Personality Inference for Simulating Human Social-Psychological Behavior
EnvTrap: Revealing the Environment-Only Attack Surface in Embodied AI via Consequence-Blind Action Execution
EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting
Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
EpistasisBench: Revealing Structural Limitations of Zero-Shot Protein Language Models
Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation
Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning
EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample
Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews
EventLens: Event-Structure Reinforcement Learning for Video Understanding
Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding
EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling
Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs
Exploring Lifelong Adaptation: In-Context Reinforcement Learning in Non-Stationary Environments
Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
FacEDiT: Talking Head Video Editing via Facial Motion Infilling
Fair Range k-Supplier Clustering in Offline and Streaming Models
Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions
FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
FedCAG: Federated Causality-Aware Graph Learning for Multi-Cloud Workload Forecasting
Federated Graph Learning with Local Message Compensation
Federated Logic Gate Networks via Boolean Feature Selection
Feedback World Model Enables Precise Guidance of Diffusion Policy
Ferrogen: Generative Pipeline for Guided Search of Novel Ferroelectric Material for Logic and Memory
FIND: Frequency Invariance Disentanglement for Test-Time Adaptation in LiDAR 3D Detection
Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
Fine-Tuning Language Models to Know What They Know
FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies
Fisher information and the geometry of memorization in neural networks
Flexible Flows for Biological Sequence Design
Flexible Routing via Uncertainty Decomposition
FloatDoor: Platform triggered Backdoors in LLMs
FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment
Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
Fractal-G: Topology-Aware Heterogeneous Graphs for Medical Image Segmentation
Fractional State Space Transition for Long Sequence Modeling
FrameScout: Scouting Query-Relevant Frames for Long Video Understanding
FreDRec: Frequency-Decoupled Knowledge Distillation for Multimodal Recommendation in Missing Modalities Scenarios
Free Decompression with Algebraic Spectral Curves
Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics
Frequency-Synchronized Boundary Coupling for Training-Free Multi-Prompt Long Video Generation
From Contexts to Conditionals: Statistical Self-Consistency of Persona Prompting
From Cursed to Competitive: Closing the ZO–FO Gap via Input-to-State Stability
From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation
From Generic to Dedicated: A Novel Optimizer for Online Continual Learning
From Perception to Punchline: Empowering VLM with the Art of In-the-wild Memes
From Retrieval to Recognition: Knowledge-Enhanced Foundation Models for Time Series Classification
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering with Generative Optimization
Fully First-Order Algorithms for Online Non-Convex Bilevel Optimization
FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models
FusionNeXt: Sequence-First 3D Multi-Modal Fusion in the Era of LLMs
GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning
GAPS: Gradient-Aware Adaptation-Gap Scoring for Time-Series Anomaly Detection with Foundation Models
Gauge-Symmetric Dual Lagrangian Frameworks for Born-Oppenheimer Molecular Dynamics
Gaussian Density Splatting Network
Gaussian Splatting-based Volumetric Video Compression with Sparse 4D Anchors
Generalization at the Edge of Stability
Generalization Bounds for Neural Networks with Sparse Connectivity
Generalized Laplacian in Spectral Seriation on Manifold Data
Generalized Priority-Aware Shapley Value
Generating the Wild: Individual-Consistent Image-to-Video Generation for Wildlife
Generative Active Learning via Bayesian Acquisition for Improving the Efficiency of Synthetic Data
GeoMemory: Geometry-Indexed Memory for Long-Horizon Interactive Video Generation
Geometric Instability of Hidden-State Trajectories Predicts Reasoning Failures in Large Language Models
Geometry-Aware Flow Matching for Sparse-View 3D Gaussian Splatting
Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice
Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds
Geometry-Calibrated Conformal Abstention for Language Models
Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
GeoPMR: Preserving Relational and Hierarchical Geometry in Multimodal Molecular Representation Learning
GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
GIVLA: Deep Geometry Internalization for A Lightweight VLA via Geometry Instruction and Gradient-Informed Training
GLARE: Generating Listening Heads with Appropriate REactions
Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
Gradient Boosted Trees for Retrieval-Augmented Generation
Gram-Calibrated Anchoring for Class-Incremental Learning
GramStatTexNet: Efficient, Interpretable, and Neuro-Inspired Texture Analysis-by-Synthesis
Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
GraphMemRL: Action-Native Reinforcement Learning for Persistent Graph Memory Construction
GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
Grounded or Fabricated? Unsupervised Detection of LLM Hallucinations via Contextualized Influence on Response Embeddings
Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model
Grounding Agent Reasoning with Structured Process Supervision for Multi-turn Reinforcement Learning
Group Distributionally Robust Optimization with Flexible Sample Queries
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
GWScore: A structural diversity metric for consistent text-to-image generation
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories
HALO: Heterogeneous-Aware LoRA Optimization via Rank Allocation and Client-Aware Projection
HALO: Homotopy-Augmented Layer Optimization for Stable LLM Supervised Post-training
HAPACT: A Benchmark For Human-Centric Physical Impact Localization in Movies
HCInfer: An Efficient Inference System via Heterogeneous Error Compensation for Resource-Constrained Devices
Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models
Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-visual LLMs
HELICS: Biobank-scale Conditional Synthetic Genome Generation via Latent Flow Matching
Hessian-Dependent Sample Complexity in Zeroth-Order Stochastic Optimization: Suboptimality of Convex-Support Sampling and Optimal Sample Complexity
Heterogeneous Graph Federated Learning with Structure-Aware Data-Free Distillation
Hierarchical Variational Policies for Reward-Guided Diffusion
Hierarchical World Models with Implicit Dynamics
HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models
Hindsight Relabeling is All You Need for Reach-Avoid Learning
History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
Hodge Laplacian Quasi-Harmonic Flows for Option Discovery
HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement
How Can SignSGD Outperform SGD? A Functional Scaling Law Perspective
How Diffusion Models Memorize
How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants
How Does Pruning Change Decisions in Large Language Models?
How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study
How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning
How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
How Post-Training Shapes Biological Reasoning Models
Hyperbolic Concept Bottleneck Models
Hyperbolic Language Models: From Zipf to Compute-Optimal Scaling
HyperGen: Learning Structure-Aware Spectral Flows for Hypergraph Generation
Hypergraph Generation with Latent Diffusion
Hypergraph Representation Learning with Hyperlink Random Effects
HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation
Hyperspherical Local Margin Retraction for Zero-Shot Instance-Wise Machine Unlearning
HyperTransport: Amortized Conditioning of T2I Generative Models
HyperTree: Scalable Unsupervised Hierarchy Discovery in Hyperbolic Space
HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder
Idempotency Exposes Consistency Problems in Sparse Autoencoders
Identifying Structural Biases from Causal Mechanism Shifts
IIDiff: Learning Cross-Domain Frequency Transitions with Diffusion Mixture-of-Experts
Illusory Pattern Perception Drives Spurious Inference in Large Language Models
Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator
Image Matting without Matting-Specific Annotations via Eikonal Fields
Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering
Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
Improving Consistency in Retrieval Augmented Systems With Group Similarity Rewards
Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation
Improving Self-Supervised Vision Transformers with Cross Distillation
Improving the Diffusability of Motion Tokenizer
Improving the Optimization Landscape of Matrix Completion with $\epsilon$-close Surrogates
Inadvertent Context Leakage in Language Models
Inexact Bregman Sparse Newton Method for Efficient Optimal Transport
Inference-Time Self-Aligned Drifting for Few-Step Flow Matching
Inferring learning rules in deep neural network architectures from animal learning data
Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
Information Parity for Code: The Scope of Transfer in Multilingual Code Models
Information Propagation via Sign-Flip Dynamics
Information-Theoretic Generalization for Set-Input Optimization-Valued Objectives
Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
InSpect: A Curated Natural History Collection Dataset for Insect Specimen Understanding
INSPO : Unlocking Intrinsic Self-Reflection for LLM Preference Optimization
Instruction Anchor: Dissecting the Mechanistic Dynamics of Modality Arbitration
Integrated Imputation-Classification for Supervised Learning with Missing Data
Interleaved Head Attention
InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists
Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
Intrinsically Interpretable Attention via Sparse Post-Training
Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
Iterative Chow Filtering for Learning with Distribution Shift
Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attributions
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
KL for a KL: On-Policy Distillation with Control Variate Baseline
KNOT: A Knowledge Entanglement Benchmark for Robust Unlearning Evaluation
KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers
KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation
LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
Language Models Demand New Computer Science
Laplacian Heads Improve Transformers by Smoothing Token Representations
LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning
Latent-space Attacks for Refusal Evasion in Language Models
LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting
Learning Gaussian Conditional Distributions using Neural Ratio Estimation is Hard
Learning Neuronal Wiring Rules from Morphological Token Sequences
Learning Options for Compositional Motor Control with Adapter Banks
Learning Pareto Stationary Fronts via Single-Pass Backpropagation
Learning Pseudo-Riemannian Manifolds for Heterophilic Graphs via Graph Signature
Learning Reach-Set Geometry for Tighter Probabilistic Neural Network Verification
Learning Reusable Motor Motifs for Continuous Animal Behavior Modeling
Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection
Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable
Learning to Inject: Automated Prompt Injection via Reinforcement Learning
Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
LensDesigner: A Self-Improving Agent for Optical Lens Design
LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
Less Language, More Latents: Annotation-Efficient VLAs for Driving
Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
LiFT: Likelihood-Free Tree-Structured Policy Optimization for Flow-Based VLAs
LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
LINE: LLM-based Iterative Neuron Explanations for Vision Models
Listening to the Wise Few: Query–Key Alignment Unlocks Latent Correct Answers in Large Language Models
Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure
LLM Active Alignment: A Nash Equilibrium Perspective
LLM Agents Already Know When to Call Tools - Even Without Reasoning
Local Manifold Identification with Latent Linear Models and OT Flows
LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
Logistic Bandits with $\tilde{O}(\sqrt{dT})$ Regret without Context Diversity Assumptions
Long-Term Composition of Human-Object Interactions
Long Video Instructional Editing in the Wild
Look Before You Leap: Self-Evolving Clinical Reasoning with Psychometric Preference Optimization for Radiology Report Generation
Looped Diffusion Language Models
LoopWeaver: Weaving Feedback Loops into Hierarchical Generation under Constraints
LoRAtorio: An intrinsic approach to LoRA Skill Composition
LoRIF: Low-Rank Influence Functions for Scalable Training Data Attribution
Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment
LP-RAG: Learning to Retrieve with Link Predictors
Lyapunov-Driven Optimistic Learning for Online Scheduling with Multi-Stage Tasks
M$^3$: Reframing Training Measures for Discretized Physical Simulations
MainFL: Intertemporal Data Valuation for Robust Auction-based Federated Learning
Making LoRA Identifiable: Orthogonal Alignment for Continual Learning
Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
Map-Guided Caching: A Global Perspective for Efficient Diffusion Transformer
MapPolicy: Structure-Aware Imitation Learning for Robot Manipulation via Physically Constrained Scene Map
Masked Diffusion Vision-Language Models for Temporal Action Localization
MASTA: A Feedback-Scheduled Multi-Agent System for End-to-End Tamarin Protocol Modeling and Analysis
Matching2Matching: Zero-Shot Light Field Image Denoising with Matching View Construction
MatCurvs: Article Real-Coordinate Curve Extraction for Agent-Ready Materials Reasoning
MathCD: A Benchmark Dataset for Cognitive Diagnosis with Semantic Information
Matryoshka Transcoders and Hierarchy Misalignment: When SAE Absorption Protection Does Not Transfer
MaxSketch: Robust Distinct Counting in Streams via Random Projections
MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
MCPHallu: Benchmarking Reasoning, Execution, and Memory Hallucinations in MCP Agents
MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes
MDK-MoE: Multi-view Decomposed Kalman Mixture of Experts Framework for Non-stationary Time Series Forecasting
Measure-to-measure Regression with Transformers
MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale
MemDLM: Memory-Enhanced DLM Training
Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory
MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation
Mesh-Free Convolution: Learned Spectral Attenuation and Transport
MESS: Multi-Exposure Sequence Synthesis for Generalizable Image Enhancement
Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning for T2I Generation in Unified Multimodal Models
METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model
MFlowAudio: Efficient Text-to-Audio Synthesis via Mamba-based Stateful Flow Matching
MGMem: An Efficient, Deterministic, and Provenance-Preserving Framework for Long-Horizon Agent Memory
MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning
MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
MinPath: Learning Efficient LLM Reasoning via Minimal Dependency Paths
MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models
MIRA: Mutual Information guided calibration for Reliable Test-Time Adaptation
Mitigating Memorization Where It Happens
MixNLQ: An Effective Post-Training Nonlinear Low-Bit Quantization Method for Large Language Models
MLLM-Edit: Benchmarking Image Forgery Detection and Localization under MLLM-based Editing
MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs
Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement
MoCAR: Motion-code Coordinate-aware AutoRegression for Continuous Trajectory Forecasting
Modelling Opinion Dynamics at Scale with Deep MARL
Module Specialization in Transformer Factual Recall under Correlated Fact Distributions
MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data
More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays
MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
Motion Forcing: Decoupling Ego and Object Motion via Sparse Inputs for Structured Video Generation
MoTo: Mixture of Tokenizers Towards Fair Multilingual Language Modeling
Multigroup Fairness and Omniprediction: Separations and Equivalences
Multi-Scale Representation Learning for Single-Cell Multi-Omics
MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation
Native Audio-Visual Alignment for Generation
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
Nearly Optimal Bounds for Orthogonal Trace-Sum Maximization
Near-Optimal Best-of-Both-Worlds Algorithms for Decoupled Exploration and Exploitation in Multi-armed Bandits
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Nereus: A Large-Scale Underwater Dataset for Fine-Grained Attribute Understanding and Grounded Counting Perception
Network of Theseus (Like the ship)
Neural Causal Models under Markov Equivalence
Neural Garbage Collection: Learning to Forget while Learning to Reason
Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing
Neural‑Visual Decoding via Cognitive‑guided Adaptive Blurring and Information‑Constrained Alignment
NeuroHorizon: Long-Horizon Forward Prediction of Neural Population Activity via Autoregressive Decoding with Hierarchical Memory
NeuroMem: A Neuroplastic Memory Framework for Lifelong Agents through Delayed Consolidation
Newton-PINet: A fast physics-informed neural network with Newton linearization for meta-learning nonlinear PDEs
Next-Latent Prediction Transformers Learn Compact World Models
Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting
Nonparametric Estimation of a Factorizable Density using Diffusion Models
No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos
NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting
NorSA: Accelerating LLM Decoding via Normalized Sparse Activation
Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL
Not Only Where, But When: Temporal Scheduling for RLVR
NoTVLA: Semantics-Preserving Robot Adaptation via Narrative Action Interfaces
NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
ODDR: One-Step Deshadow Diffusion via Reward Guidance
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
OGPO: Offline Goal-conditioned Policy Optimization for Recoverable Vision-Language-Action Models
OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes
Omni-Interactive Universal Embedder
One-Shot Federated Graph Learning via High-Fidelity Proxies and Transferability-Guided Collaboration
One-Time Soft Alignment Enables Resilient Learning without Weight Transport
On Fitting Flow Models with Large Sinkhorn Couplings
Online Learning via Learned Latent Bayesian Tracking
On Minimizing Regret in Fixed-Confidence $\varepsilon$-Best Arm Identification
On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
On the Limits of Latent Reuse in Diffusion Models
On the Memorization of Consistency Distillation for Diffusion Models
On the Selectivity of Generative Models in Structure-Based Drug Design
OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning
Open-Vocabulary 3D Part Segmentation with Semantic Propagation Hawkes Process
Operads for compositional reasoning in LLMs
Opt-Arena: Evaluating, Selecting, and Generating Optimization Modeling Data via Tripartite Graphs
OpticalRAG: Pixel-Space Compression for Token-Efficient Retrieval-Augmented Generation
Optimal Subgroup Discovery at Every Support Threshold
Order-Marginalized Scoring for Masked Diffusion Models
Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
OT-Robust3DVLA: A Wasserstein Barycenter is the Right Inductive Bias for Robust Multi-View 3D Vision-Language-Action Policies
Outbidding and Outbluffing Elite Humans: Mastering Liar’s Poker via Self-Play and Reinforcement Learning
Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering
P$^3$-VLM: A Point-based Alternative for Grounded 3D Vision-Language Models
PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation
PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
PanoHK360: A Large-Scale 8K Urban Panoramic Dataset and Benchmark for Depth Estimation
PanoWorld: Towards Spatial Supersensing in 360◦ Panorama World
Parallel Fixed-Point Spiking Neurons for Efficient Training of Spiking Neural Networks
Parallel-in-Time Variational Inference for Latent Stochastic Differential Equations
PARE: Pruning and Adaptive Routing for Efficient Video Generation
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide VQA
PAVE: Prefill-Conditioned Activation Editing for Hallucination Mitigation in LVLMs
PaxBench: A Multimodal Sequence Benchmark for Protein Abundance Prediction
Payoff-Aware Prediction of Population Game Dynamics
PCDFusion: Proposal-Context-Detail Bayesian Rendering for Infrared-Visible Image Fusion
PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
PCFBench: How Far Can Large Vision-Language Models Go in Physics-aware Photonic Inverse Design?
Perception, Not Reasoning, Limits Visual Theory of Mind
Periodic Complex Stochastic Processes for Retrieving Atomic Structures of Unknown Matters
PerQ: Inverse Generative Modeling for Neural Image Compression via Quantization Error Compensation
Personalized LLM Alignment Should Be Counterfactually Verifiable
Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding
PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging
Phase-DGS: Phase-Guided Dynamic Gaussian Splatting from Unsynchronized Multi-view Video
PhaseLoRA: Control-Regime-Conditioned Low-Rank Adaptation for Continuous-Action Vision-Language-Action Policies
Phase-wise Velocity Distillation: Towards Effective Image Generation with A Single NFE
PhyMo: Learning Physical Dynamics with Accurate and Continuous Motion from Multi-View Videos
PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
PISCO: Precise Video Instance Insertion with Sparse Control
PitchBench: Measuring Pitch Hearing in Audio-Language Models
PixFoundation 2.0: Do Video Multi-Modal LLMs Use Motion in Visual Grounding?
Planning as Dynamics Relaxation: Hippocampal Recurrent Network Realizes Optimal Goal-Directed Navigation
Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
PolySplat: Workload-Regime-Aware Rasterization for 3D Gaussian Splatting
PoSafeNet: Structured Safety Learning via Compositional Projection
PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry
Position: Semantic Uncertainty Measures Disagreement, Not Reliability
Post-ADC Inference: Valid Inference After Active Data Collection
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization
Posterior-Tracking for Best-Arm Identification in Bernoulli Bandits
Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics
Post-Selection-Safe Pessimistic Utilities for Offline Multi-Objective Reinforcement Learning
Post-Training Quantization with Gradient-Projected Fisher Approximation for Vision Transformers
Predicting Quantization Price for Selecting PTQ Configurations Before Deployment
Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series
Pref-DetectGPT: Unveiling Machine-Generated Text via Preference-Aware Curvature Measurement
Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success
PreFT: Prefill-only finetuning for inference efficiency
Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
PriorVLA: Prior-Preserving Adaptation for Vision-Language-Action Models
PRISM: Programming Interactive Scenes from Monocular Images for Embodied Simulation
PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
Process-Aware LNS for Large-Scale MILP via Context-Enhanced Fine-Tuned LLM-driven Selector
PROLA: Principal-Orthogonal Low-rank Adaptation for Predictive Spatiotemporal Weather Downscaling
Prompt-Conditioned Semantic Bottleneck for Cross-Domain Face Attack Detection
Proper Scoring Rules for Agentic Uncertainty Quantification
Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
Prysma: Efficient Modality Adaptation for SLO-aware LLM-based Video Question Answering
Q-ARVD: Quantizing Autoregressive Video Diffusion Models
QEC Model Zoo: Democratizing AI-enhanced Quantum Error Correction
Quantum Best Arm Identification with Limited Round of Adaptivity: Lower Bounds and Algorithms
Quantum Composite Hypothesis Testing with Small Error
Query Lower Bounds for Approximating the Top Eigenvector of Asymmetric Matrices
Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
RAIL: Representation-Aligned Imitation Learning for Student-Compatible Teacher Policies
Random-Projection Tree Stein Variational Gradient Descent
Rank-Aware Differentially Private Release of Listwise Preferences for LLM Alignment
Rare Disease Diagnosis Agent with Decoupled Workflows and Knowledge-Driven Self-Evaluation
Raven: High-Recall Sequence Modeling via Sparse Memory Routing
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
RECIPE: Learning to Rank Complete Precursor Sets for Inorganic Retrosynthesis
ReCoG: Relational Concept Graph for Training-Free Personalization
Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning
Recursive Semantic Divergence for LLM Agent Consistency
Reinforcement Learning for Code Optimization
Reinforcement Learning for View-Adaptive Distillation in 3D Gaussian Compression
Reinforcement Learning with Multi-Step Lookahead Information Via Adaptive Batching
RelationVGGT : Visual Geometry Transformers for 3D Spatial Relation Segmentation
Relative Energy Barriers for Copyright-Aware Language Model Adaptation
RelaVPR: Relation-Based Knowledge Distillation for Efficient Visual Place Recognition
RelFlexformer: Efficient Attention Transformers for Integrable Relative Positional Encodings
Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport
Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees
Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation
RePercENT: Scaling Disentangled Representation Learning Beyond Two Modalities
RepoScope: Bridging Physical Structure and Logical Flow for Intent-Driven Repository Documentation
Representation Preconditioning for Efficient Diffusion Model Training
Representation Rigidity in Face Embeddings: Orthogonal Identifiability and Backfill-Free Compatibility
Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity
RescueBench: Can Embodied Agents Save Lives in the Wild?
Residual Paving: Diagnosing the Routing Bottleneck in Selective Refusal Editing
Resilience Matters for Embodied Agents System: New Metrics, Systematic Evaluation, and Optimization
Resolving AdaBoost Cycling with LLMs: A Computer-Assisted Counterexample
Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling
Rethinking Bayesian Optimization for Co-Optimizing LLM Training Configurations
Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction
Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement
Rethinking Vector Field Learning for Generative Segmentation
Rethinking Visual Reasoning in Text-to-Image Reward Modeling
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
Reusable Conditional Resampling via Flow Matching for Constraint-Based Causal Discovery
Reversing the Roles of Signal and Noise: Modeling Noise in Astronomical Images without Paired Data
Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions
Revitalizing Medical Time Series with Vision-Informed Retrieval: A Vision-Language Perspective
Reward Budgeting Reduces Premature Convergence in Reinforcement Learning for LLM Reasoning
Reward Is Not a Universal Interface for Generative Reinforcement Learning
RISE: Red-teaming via Iterative Strategy Evolution for Modern Text-to-Image Models
Risk-guided Estimation-aware Acceptance for Learning with Synthetic Data
Risks Create a Jagged Frontier of LLM Productivity Gains Across Computer Occupations
Risk-Sensitive Deep Optimal Stopping
RIVET: Regex-to-Indexable Keys via Neural Translation for Interactive LIMIT-k Retrieval
RL Excursions during Pre-training: How early is too early for on-policy learning?
RobustGenBench: A Benchmark for Robust Generalization to Adversarial and Common Perturbations, with Applications to Vision and Vision-Enabled Large Language Models
Robustness of Internal Signals for Hallucination Detection in Vision-Language Models
Robust Noisy Inductive Matrix Completion with Local Linear Convergence
RobustStress: Stress-Testing AI-Generated Text Detectors under Gradual Perturbations
ROCKET: Rapid Optimization via Calibration-guided Knapsack-Enhanced Truncation for Efficient Model Compression
RRL-HOI: Reflective Reinforcement Learning for Open-Vocabulary HOI Detection
RSSA: Robust Semantic and Spatial Aligner for Collaborative Perception
Rubato: Signature Attention for Irregular Multivariate Time Series Forecasting
RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models
SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows?
Safe Linear Bandits with Unknown Safety Gaps
SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
SAGE: Semantic-Agnostic Image Embedding for Generalized AI-Generated Image Detection
SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild
SaMA: Morpho Adaptation via Asymmetric Expansion of Kronecker Product
SAMAT: A Stereotype-Aware Multimodal Transformer for Interpretable Misogynistic Meme Detection
Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders
Sample Efficient Generative Molecular Optimization with Joint Self-Improvement
Sample-Grained Approximate Unlearning with Provable Per-Sample Bounds
Sample Size Design for Bounds on Discrete Probabilities of Causation
Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation
SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs
SAX: Advancing Video Diffusion Models for Sequential Action Execution
SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing Information
Scalable Supervised Optimal Transport of Gaussian Mixture Models
Scale-Invariant Empirical-Bayes Laplace Approximation for ReLU Networks
Scaling Causal Reasoning with Increasingly Complex Causal Simulators
Scaling Laws for SAE Training Data
Scenes as Objects, Not Primitives : Instance-Structured 3D Tokenization from Unposed Views
SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding
SchemaPose: RGB-Based Category-Level Pose Estimation with Parametric Category Schema
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
Screening Lipid Nanoparticles through Structure-Ratio Alignment
scShapeBench: Discovering geometry from high dimensional scRNAseq data
scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation Learning
SDAE: Semantic-Diversity-Aware Exploration for Efficient Reinforcement Learning in Large Language Models
SDFlow: Similarity-Driven Flow Matching for Time Series Generation
SEAR: Sample Efficient Action Chunking Reinforcement Learning
See, Read, Compare: Candidate-Aware Verification for Agent Test-Time Scaling
See to Believe: Segmentation by Reasoning with Visual Evidence
Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation
Select Smarter, Not More? Prompt-Aware Evaluation Scheduling with Submodular Guarantees
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
Semantic-Level Invariant Representation Learning for Cross-Hospital Clinical EEG Modeling
SemISP: Semantic-Consistent Diffusion for Cross-Camera RAW-to-sRGB Generation
SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models
SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
Seq-LoRA: Sequential Bayesian Low-Rank Adaptation for Large Language Models
Sequential Behavioral Watermarking for LLM Agents
SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction
SH$^2$: A Mathematician-Curated benchmark for Assessing Research-level Math Capabilities of LLMs
Sharper Guarantees for Misspecified Kernelized Bandit Optimization
Shift-Aware Identity-Guided Latent Refinement for Referring Audio–Visual Segmentation
SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation
Simple Baselines are Competitive with Code Evolution
Simulation-Ready Compositional 3D Scene Reconstruction from a Single Image
Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing
Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models
SkillGen: Verified Inference-Time Agent Skill Synthesis
Skill-Level Effects in Behavioral Cloning: When Low-Skill Data Improves Performance
Skipping Domain Shifts: Domain Memory Retention Enhanced Hyperspectral Single-Source Domain Generalization
SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing
Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements
Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints
SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory
SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning
Social Choice Foundations for Simulation-Augmented Generation
Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents
SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models
Soft Contamination Means Benchmarks Test Shallow Generalization
SOLAR: AI-Powered Speed-of-Light Performance Analysis
Solver-as-Teacher: Solver-Guided On-Policy Post-Training Framework for PDE Foundation Models
Sound Verification of Deployed Neural Networks
SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
Sparse Layers are Critical to Scaling Looped Language Models
Sparse Repair in Reasoning Traces: A Structural View of Test-Time Inference
Spatially-Grounded Long Video Generation with Self Geometry Forcing
Spatial Representation Distillation and Knowledge Routing for Vision-Language-Action Models
Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers
Spectral Estimation with Deformed Decompression
Spectral Identifiability for World Models: Polynomial Projectors, Resolvent Stability, and a Krylov Bottleneck
Spectrally Decomposed Equivariant Graph Neural Networks for Interatomic Potentials
Spectral Rank Calibration for Continual LoRA Merging in Multimodal Large Language Models
Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting
SPERA: Spherical Prior EEG Foundation Model with Geometry- and Frequency-Aware Latent Prediction
SphereFlow: Missing Modality Imputation via Geometric Transport on Hypersphere
SpikingGamma: Temporally Precise Online SNN Training Through Smoothed Temporal Delays
Sport Is The Next Grand Challenge For Artificial Intelligence: Toward A Science Of Human Physical Skill
SpRePE: A Spherical Geometry-Aware Position Embedding scheme for Vision Transformers
S&P: Towards Scalable and Powerful Graph Learning with Hierarchical Structural Acquisition
Stability-Enhanced Federated Learning with Accelerated Gradient
Stabilizing Off-policy LLM Optimization with Prefix Importance Ratio
Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators
Stable Resolution-Invariant Emulation in Entropically Controlled Kinetic Methods
STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision
State Augmented Flows
State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking
Statistical Complexity of Soft Bellman Residual Minimization
Statistical Limits of Affine Equivariant Estimation
StatLUT: Statistical Feature-Driven Multimodal 3D LUT Generation for Photorealistic Style Transfer
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
StitchEdit: Stitching Depth Priors into Image Editors via Per-Layer Gradient Probing
Stochastic Optimization with Random Search
Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
Strategic Evaluation: Incentivizing AI Capability Coverage with Private Benchmarks
Strategist: Designing Agentic Reasoning at Scale
Strengthening LLMs for Tabular Prediction with Structural Priors
Strengthen Out-of-Distribution Detection via Adaptive Mahalanobis Gap
Stroke-Audited Quadratic Bezier Splatting with Structural Initialization for Efficient Painting Rendering
Structure-Guided Masked Autoencoders for Ultra-High Resolution Scientific Image Understanding
Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging
Subspace-Guided Continual Learning: Hessian Based Stable–Plastic Decomposition for Exemplar-Free Class-Incremental Learning
Support Before Frequency in Discrete Diffusion
SurGe: Improved Surface Geometry in Point Maps
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement Learning
SWE-Git-Bench: A Worktree-Level Benchmark for Real Merge Conflict Resolution
SWE-Marathon: Can AI Agents Autonomously Complete Ultra-Long-Horizon Software Work?
SWE-Pro: A Benchmark for Evaluating LLMs on Performance-Oriented Repository-Level Optimization
Symmetry-Guaranteed Prediction of High-Order Tensor Properties for Crystalline Materials via Irreducible Decomposition
Symplectic Reck: In-Situ Learning of Gaussian Quantum Operations
Synsema: Syntax-Guided Learning of Semantically Valid Programs
Synthetic Anchor-Assisted Prototype Alignment for Heterogeneous Federated Learning
Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale
Take It or Leave It: Intent-Controlled Partial Optimal Transport
TALK: One-Shot Batch Design for Protein Variant Effect Prediction
Taming Generative Co-Folding Prior for Molecular Docking with Diffusion Bridge
TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution
TED: Text-Axis Evidence Decomposition for Prompted Anomaly Localization
Tempered Guided Diffusion
TeMPO: Frame-Causal Token Compression for Efficient Video Large Language Model
Temporal Pair Consistency for Flow Matching
Temporal Selective Exploration for Reinforcement Learning-Guided Continuous-Discrete Flow Matching in 3D Molecular Design
Tensorion: A Tensor-Aware Generalization of the Muon Optimizer
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
Test-Time Graph Recalibration: Enhancing Robust Zero-Shot Inference for Graph Foundation Models
Test-Time Prompt-Agnostic Decomposition
Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
Tethered Predictive-Inertial Proposals with Objective Verification for Diffusion-Prior Inverse Problems
Text-Based AI Tools for Research Integrity Must Be Audited on Linguistic Fairness Before Deployment
TGPO: Trace-Guided Policy Optimization for Robot Task Planning via Verifiable Subgoal Generation
The BAMBI Dataset: Multimodal Nadir UAV-Recordings of Forest Wildlife
The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
The Graph Concept Bottleneck: Decoding Combinatorial Reasoning in GNNs for Interpretability
The Heavy Hitter Oracle: Enhancing Frequency Estimation in Skewed Data Streams
The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models
The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric
The Mask Is Not the Object: Volumetric Supervision for 3D Gaussian Segmentation
The Minimax Rate of Second-Order Calibration
The Missing Corpus: Infinite Ground Truth for File-Grounded LLM Evaluation
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction
TIB: Sample-wise Tempered Information Bottleneck for Multimodal Attribution beyond Alignment Assumption
TIGER: Bridging the Multimodal Reasoning-Access Gap via Modality Counterfactuals
TIMA: Test-Time Internalization for Agentic Memory
Time-Frequency Decoupled Cross-Scale Partial Optimal Transport for Time Series Domain Adaptation
Time–Frequency Non-Stationary Modeling for Multivariate Time Series Forecasting
Token-Conditional Expert Dropout: Implicit Regularization for Stable MoE Pretraining
Token Filtering: Online Attention Pruning via KV Similarity for Efficient LLM Inference
Tool-IQA: Augmenting Image Quality Assessment with Simple Tools
Topic-Aware Contextual Cascading Bandits
Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
Toward Efficient Reasoning of Large Language Models via Latent Concept-Pyramid Modeling
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning
Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
Towards Reliable VLM Judges: State-Conditional Invariance and Presentation-Aware Diagnostics
Toward the Goldilocks Blind Compression of Quantum States
TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
TraceTriage: A Benchmark for Cost-Aware Stop-or-Continue Decisions in Delayed-Outcome Workflows
Tracing the Cascade: A Topology-Aware Evaluation Framework for Scientific Agent Hallucinations
Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
Training-Free Open World Object Detection
Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
Training on Documents About Monitoring Leads to CoT Obfuscation
Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
Trajectory Forcing: Exploiting Diffusion Trajectories for Autoregressive Long Video Generation
Transductive Generalization for GNNs via Optimal Transport
Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
Traversal-Invariant Positional Encoding for Serialized Graphs
TreemapMix: Dirichlet-Controlled Multi-Image Augmentation for Probability and Ordinal Supervision
TreePII: Efficient Computation of Higher-Order Probabilistic Interaction Indices in Tree Ensembles
Tree Rotary Positional Encoding for Extreme Length Extrapolation from Scratch
TRIAD: Benchmarking Omni-Modal Ambiguity in Multimodal Large Language Models
Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA
TriPrompt: Progressive Local Prompting for Few-shot Out-of-Distribution Detection
Tropical Boundary Complexity of Deep ReLU Networks
Truth as a Compression Artifact in Language Model Training
TSB-SEG: A Systematic Time-Series Segmentation Benchmark
TTB: Test-time MLP Baking for Efficient Rendering of Decoder-only View Synthesis Models
Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework
Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
Uncertainty Quantification for Large Language Diffusion Models
Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
Underlying Functional Structure of Reinforcement Learning
Understanding and Mitigating Structural Forgetting in Fine-Tuned Time Series Foundation Models
Understanding Generalization Requires Universal Induction
Uni-Cheb: A Basis-Agnostic Learnable Chebyshev Filter for Multimodal Spectral Modulation
UniDBO: A Unified Dual-Branch One-Step Denoising Framework for Autonomous Driving Scenario Generation
UniFlowDock: Flexible Docking with Complete Equivariant Velocity Fields
Uniform Spectral Growth under Factor-wise Muon Orthogonalization in Matrix Factorization and LoRA
UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Affordance Segmentation
UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
Unsupervised Domain Adaptation for Semantic Segmentation Based on Instance Spatial Geometry
Untrusted Content Masking for Web Agents with Security Guarantees
Unveiling Fine-Grained Visual Traces: Evaluating MultiModal Interleaved Reasoning Chains in Multimodal STEM Tasks
UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
VALOR: Vector-Aware Low-Rank Restructuring of Neural Networks for RISC-V Inference
Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation
Variance Reduction for Expectations with Diffusion Teachers
Variational Consequence-Driven Offline Reinforcement Learning
VCR: Learning Valid Contextual Representation for Incomplete Wearable Signals
VecUQ-OT: Aggregating Uncertainty Measures via Multivariate Ranks
VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design
Verifier-Backed Hard Problem Generation for Mathematical Reasoning
Verigrad: Verification-Driven Multi-Agent GPU Kernel Generation for High-Order MLIP Derivatives
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
vExpert: Virtualizing Expert Storage for Adaptive Load Balancing in Distributed MoE Inference
Video-Zero: Self-Evolution Video Understanding
ViewRec3D: Learning to Recommend 3D Viewpoints for AI Photography
View-Spectral Reconciliation Learning for Text-based Multispectral Aerial–Ground Person Re-Identification
VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models
VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling
VIPER: An Expert-Curated Benchmark for Vision-Language Models in Veterinary Pathology
Visual Enhanced Depth Scaling for Multimodal Latent Reasoning
Visual Text Compression as Measure Transport
Visual-to-Executable Procedural Reconstruction of Buildings.
VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild
Watermarking Should Be Treated as a Monitoring Primitive
WaveSem: Frequency-Adaptive Tokenization for Disentangling Semantics and Noise in Genomics
We Should Distinguish Unlearning From Untraining
What Do SAE Features Encode? Evidence from Human Neural Activity
What Is Worth Representing? Representational Empowerment for Continual Model Construction
What MLLMs Learn about When they Learn about Multimodal Reasoning
What, Where, and Boundary: Hierarchical Cognitive Decomposition for Echocardiography Video Segmentation
When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reproduction
When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning
When Depth Lies: Benchmarking Vision-Language Models on Mirror-Induced RGB-D Ambiguity
When Do Cosine Prototypes Mislead? A Whitening-Aware Benchmark for Frozen-Feature Image Classification
When does LeJEPA learn a World Model?
When Does Sequential Detection Collapse to a Scalar? A Necessary and Sufficient Characterisation
When Further Realization Is Unnecessary: Amortized Reasoning for Long-Horizon LLM Agents
When Guessing is Rewarded: Rethinking Language Model Evaluation with Distributional Uncertainty Scoring
When Integral Meets Decomposition: A Signal-Level Self-Supervised Feature Decompose Paradigm for Multi-Modal Image Fusion
When Less is More: The LLM Scaling Paradox in Context Compression
When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling
When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
When Sanitization Becomes the Trigger: Defense-Triggered Backdoor Attacks
When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification
When Transcriptomic Foundation Models Scale: Domain-Focused Pretraining for Drug Development in Immunology and Inflammation
Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers
Where Reusable Computation Becomes Detectable: Solution-Frame Path Triage for Modular-Arithmetic Grokking
Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMs
Who Wrote This Paper? Autonomous Scientific Discovery for 3DGS Research
Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking
Why Latent Actions Fail, and How to Prevent It
Why Transformers Struggle with Distribution-Independent In-Context Learning
WorldSpeech: A Multilingual Speech Corpus from Around the World
XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
Z-Cache: Accelerating Diffusion Transformers via Self-Reflection
(ends 1:00 PM)
noon
Break:
Retail Lunch
(ends 2:00 PM)
1:30 p.m.
Award:
Sejnowski - Hinton Award
(ends 2:00 PM)
2 p.m.
Sydney Invited Talk:
The Future of AI Evaluation
José Hernández-Orallo
(ends 3:00 PM)
3 p.m.
Break:
Coffee
(ends 3:30 PM)
3:30 p.m.
Sydney Oral Session 3F [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 3A [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 3B [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 3C [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 3D [3:30-4:30]
(ends 4:30 PM)
Sydney Oral Session 3E [3:30-4:30]
(ends 4:30 PM)
5 p.m.
Break:
Coffee & Snacks
(ends 6:00 PM)
Town Hall:
Town Hall
(ends 6:00 PM)
Sydney Poster Session 6 [5:00-8:00]
Posters 5:00-8:00
$\mathbf{\mathtt{MAD\text{-}Bench}}$: How Do Multimodal Agents Deceive You?
$R^2E$: A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
3DABSeg: Adaptive 3D Ankle Bone Segmentation with Multiscale Feature Fusion Mixture-of-Experts
A2Eval: Agentic and Automated Evaluation for Embodied Brain
A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution
A Black-Box Reduction from Regret to Multi-Level Coverage
Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
Accelerating the Inference Era with AI-Driven, Globally Optimized HW/SW Co-Design
ACD-GS: Asymmetric Curvature-aware Densification for 3D Gaussian Splatting
A Characterization of Latent Variable Causal Models Consistent with Observational Data
AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security
Adaptive and Neutral Theory of Evolution Strategies for Large Language Models
Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection
Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
Adaptive LLM Routing for Multi-Turn Conversations with Continuously Evolving User Queries
Adaptive-Margin Masking and Restoration for Balanced Multimodal Learning
Adaptive Stepsizes for Eligibility Traces in Deep Reinforcement Learning
A Differentiable Interior-Point Method in Single Precision
Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory
Adversarial Corpus Selection to Attack Subgraph Matching based Graph Retrieval
Adversarial Risk in the Generative AI Era Necessitates Dropping the Small Epsilon Ball
AEON: Unifying Video and 3D World Models
AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting
Affine-Image Propagation for Tight and Scalable $\ell_{2}$ Neural Network Verification
Affine-invariant Cubic Newton with Weak Learners
Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
Agentic Reward Modeling: Verifying GUI Agent via Progressive Trajectory-Grounded Interaction
AgenticVBench: Can AI Agents Complete Real-World Video Production Tasks?
Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection
A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning
Agnostic Online Learning with Reliable Abstention
A Hierarchical Tokenization Framework for Voxel-Level fMRI Representation Learning
ALETHEIA: A Multi-Frequency Eddy Current Pulsed Thermography Dataset for Neural Operator Learning in Nondestructive Testing
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
A Local Geometric Analysis of Maximal Coding Rate Reduction via Error Bounds
AlphaPROBE: Alpha Mining via principled retriveval and on-graph biased evolution
AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization
A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits
An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
Anatomy-Preserving Unpaired Medical Image Translation via Shared Latent Anchoring
An Axiomatic Analysis of DPO and NLHF as Reference-Dependent Probabilistic Voting Rules
An Efficient Algorithm for Thresholding Monte Carlo Tree Search
An Efficient Cross-modal Feature Reconstruction Model for Multimodal Multi-class Anomaly Detection
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes
A Primal-dual Approach for Semi-Infinitely Constrained Reinforcement Learning
A Private Empirical Defense Against Privacy Audits
Are LLMs Good at Feature Engineering? Evidence from a Controlled Synthetic Benchmark
Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
A Scientific Claim Stability Framework for Evaluating MRI Morphometry Pipelines
AsdaKV: Attention-Overlap Driven Semantic KV Retrieval for Long-Context LLMs
A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets
A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform
A Structure-Aware Higher-Order Message Passing Framework on Walk States for Graph Classification
A Structured LLM Framework for Inorganic Material Synthesis Planning
Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
A systematic evaluation of vision-language models for observational astronomical reasoning tasks
A Theory of Spatial Continuous Attractors in Hopfield Energy Landscapes
ATI-VLA: Action-Centric Predictive Vision–Language–Action Models via Actionable Alignment Then Adaptive Injection
AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution
Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
Attention-based Routing for Interpretable Multimodal Brain Encoding
Attention Itself Could Retrieve. RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval
Attention Sinks as Spectral Spikes: A Mechanism Analysis of Gated Attention
Attention Transfer Is Not Universally Effective for Vision Transformers
Auditing Instruction Robustness in Vision-Language-Action Models via Diversity-Aware Red Teaming
Augmented Equivariant Mesh Networks for Anatomical Segmentation
A Unifying View of Anchoring via Operator-Side Tikhonov Regularization
AutoDataBench: How Far Are LLM Agents from Autonomously Engineering Post-Training Data Pipelines?
AutoManifold: Agentic Design of Data Visualisation Algorithms via Manifold Embedding
Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation
Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation
Bayesian Backprop as Belief Propagation: Single-Pass Predictive Uncertainty
BEAKER: An Expert-Curated Benchmark for Embodied Brains in Self-Driving Chemical Laboratories
Behavioral Foundation Models for Quality Diversity
Behavior Pack Optimization for Video MLLM Post-Training
Benchmarking Vietnamese Legal Knowledge of Large Language Models
Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
Beyond Accuracy: A Diagnostic Benchmark for Hypothesis-Driven Experiment Planning in LLM Agents
Beyond DSA: Conjugacy-based Comparison of Dynamical Systems
Beyond Flat Walks: Compositional Abstraction for Autoregressive Graph Generation
Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
Beyond Pixel Space: Frequency-Domain Uncertainty Estimation for Structure-Aware Diffusion Guidance
Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
Beyond Selection: Token Parameterization for Extreme Visual Token Compression
Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
Beyond Sparse Captions: Aligning Slide-Level Text and Patch-Level Vision in Pathology
Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models
BFS-PO: Best-First Search for Large Reasoning Models
Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning
BiLi: Bridging the Last Mile in LiDAR Localization
Bilinear Matching Bandits
Black-Box Uncertainty Quantification for Large Language Models via Ensemble-of-Ensembles
BlenderFORGE: Framework for Optimizing Reactive 3D-Graphics Editing Ability of MLLMs
Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge
BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference
BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting
Boosting Off-Policy RLVR with Data-Centric Replay
BootstrapAgent: Turning Repository Setup into Reusable Agent Knowledge
Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
Breaking the Exactness Barrier: Interleaved DeepSeek Sparse Attention for Efficient Long Context Reasoning
Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
BRIDGE: Brain-Vision Representation Integration through Depth and Granularity Encoding
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
Bridging Sequence and Structure with Unified Domain Adaptation for Drug-Target Interaction Prediction
Bridging the Gap Between Harmfulness Belief and Refusal Behavior for Safety Alignment
BucpTSF: Breaking the Uniform Computation Paradigm in Time-Series Forecasting
Budget-Conditioned Clipping Policies for Differentially Private Federated Learning
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
Calibration without Ground Truth
Can Folding Models Tell Binders from Bluffers? Evidence from POISK: The Patent-Derived Antibody Dataset
Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?
Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
Canopy: Tree-Aware Rollout Scheduling for Agent Reinforcement Learning
Can We Trust Item Response Theory for AI Evaluation?
Capacity Allocation at the Source: Sparse Target Optimization for LLM Knowledge Editing
CAPO: A Primal-Dual Framework for Constraint-Aware Prompt Optimization
CASQRec: Collaborative-Adaptive Semantic Quantization for Multimodal Recommendation
Causal Discovery under Time-Varying Delays
CausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving
Causal Inference for Sequential Settings under Interference and Latent Confounding
Causal learning with the invariance principle
CellMSA: Context Modeling for Single-Cell Representation Learning
Chain-of-Thought Oversight Should Not Treat Faithfulness as Monitorability
Character Mixing for Video Generation
CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing
ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
Circuit-Level Knowledge Distillation for Large Language Models
CITE: Anytime Valid Statistical Inference in LLM Self-Consistency
Class-Domain Incremental Learning with Extensible Multi-Center Modeling
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents
CLeaR: A Unified Framework for Resolving the Leakage–Degradation Dilemma in Style Transfer
CLEAR: Complementary Tripartite Play with Bayesian Calibration for Semi-Supervised Edge Classification
Closing the Approximation Gap in Simulation-free Latent SDEs
Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
Code2World: A GUI World Model via Renderable Code Generation
Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features
CodeMimicry: Exploiting Safety Generalization Lag in Large Language Models via Structured Code Completion
Code Review Bench: An Automated Benchmark for Evaluating the Software Factory
CoE-Agent: Co-Evolving Patient-Doctor Agents via Interactive Policy Graph Optimization for Clinical Decision Making
CoffeeBench: A Benchmark for Long-Horizon Strategic Decision-Making in Multi-Agent Economies
Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation
Colour me shocked: Exact Molecular Hessians from MLIPs in O(N) time using sparse differentiation!
CompilerKV: Risk-Adaptive KV Cache Compression via Offline Experience Compilation
COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression
Compute Allocation Under Model-Provider Competition
Compute-optimal data scaling for neural surrogates via multi-fidelity training
Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning
Concept-Aware Wasserstein Routing with Vision-Language Guidance for Few-Shot WSI Classification
Concord-SLAM: Cross-Render Concordance for Boundary-Native Semantic Gaussian SLAM
Conditional independence and graphical models for rankings
Conformal Prediction for Distribution-to-Distribution Regression
Confounding-Aware Client Selection in Federated Learning via Causal Mediation Analysis
Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods
Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
Continuous-depth Deep Gaussian Processes
Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs
Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
Contrastive Identification and Generation in the Limit
Contrastive Thinking Decoding: Steering Answer Generation in Reasoning Models
Control Charts for Multi-Agent Systems
Controllable Generative Sandbox for Causal Inference
Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation
Correction Space Steering for Hallucination Mitigation in Large Vision-Language Models
CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings
Cortically-Resolved Recurrent Architecture for fMRI
CoTs as Probabilistic Programs: A Programmatic View of Thinking Step-by-Step in Language Models
Counterfactual Online Conformal Prediction Under Adaptive Logging
CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs
Coupled Guidance for Flow Matching
CPA: Efficient and Stable FP4 RL Training via Cross-Precision Alignment
CPSea2: Composing Terminal Geometries for Structurally Diverse Cyclic Peptide Binder Design
Credit Assignment with Resets in Language Model Reasoning
CrossWeave: Emergent Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment
CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building
CSCN: The Crossed Subtree Convolutional Network
CSLA: Sparse-Linear Attention with Learnable Routing and Quantization-aware Training
CTE-Bench: Audited Counterfactual Trace Evaluation for Stateful Software Simulators
CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users
CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction
D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
Debiasing Random Oblique Projections for Subsampled OLS and Fast CUR in High Dimensions
Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
Decoupling is the Key: Scaling Deep Value Networks in Reinforcement Leanring
Deep Gaussian Processes on Directed Acyclic Graphs
Deep Research as Rubric
Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
Delay-Embedded Representations for Robust Saccade Classification in Noisy Oculographic Signals
DELTA: Robustly Training Label-Conditional Diffusion Models with Weak Annotations
Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models
Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
Deriving Hyperparameter Scaling Laws via Modern Optimization Theory
Designing Cell-Type-Specific Regulatory DNA with Guided Discrete Diffusion
DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation
Detecting Hidden ML Training With Zero-Overhead Telemetry
DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English
DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering
DiffScore: Text Evaluation Beyond Autoregressive Likelihood
Diffusion Subgoal Planning for Long-Horizon Offline Goal-Conditioned Reinforcement Learning
Direct Conditioning of Audio Diffusion Transformers on fMRI Reveals Cortical Contributions to Sound Reconstruction
DirectUV: Image-Conditioned UV Texture Generation with Surface-Aware Positional Encoding
DISCOVER: Online Variance-Guided Data Discovery for Budgeted Multimodal GRPO
DiscoverPhysics: Benchmarking LLMs for out-of-the-box scientific thinking
Distance-Dependent Connectivity Shapes Continual Learning by Synaptic-Resource-Delimited Separation of Neural Dynamics
Distributional Estimation of 3D Object Orientation
Distributionally Robust Domain Randomization with Learned Risk-Sensitive Dynamics Samplers
Distributionally Robust Listwise Preference Optimization
Distribution Shift in Missing Data Imputation: A Risk-Based Perspective and Importance-Weighted Correction under MAR
DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control
DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
Does Compression Imply Generalization? A Minimum Description Length Perspective
Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization
Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents
Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability — Diverse Evaluation Is Required
Don't Discard Your Rollouts: Reusing Teacher RL Traces for Student Distillation
Don't Waste Population: Post-Anneal Refinement for Combinatorial Optimization
Do Sparse Autoencoders Learn Meaningful Concept Hierarchies?
DPIAgent: Divide, Protocol, Isolate for Agentic Reproduction Test Generation
dRAE: Representation Autoencoder with Hyper-Spherical Codes
DressWild: Feed-Forward Pose-Agnostic Garment Sewing Pattern Generation from In-the-Wild Images
DriveStreamBench: Evaluating User-Conditioned Watch-and-Notify in Streaming Driving Video
Drive vs. Decay: On the Training Dynamics of Joint-Embedding Predictive Architectures
DROGO: Default Representation Objective via Graph Optimization in Reinforcement Learning
DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation
Duality Models: An Embarrassingly Simple One-step Generation Paradigm
DualSteer: Dual-Space Steering for Robust Jailbreak Mitigation of Large Vision Language Models
DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech
D-VLA: A High-Concurrency Distributed Asynchronous RL Framework for Vision-Language-Action Models
DyJR: Preserving Local Policy Plasticity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
Dynamic Query as Budgeting for Tiny Object Detection
DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion
Dynamics-Informed Adaptive Offline RL for Real-Time Tokamak Plasma Control
DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model
DySurface: Consistent 4D Surface Reconstruction via Bridging Explicit Gaussians and Implicit Functions
Early Semantic Grounding in Image Editing Models for Zero-Shot Referring Image Segmentation
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommender Systems
Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing
Efficient Algorithms for Distributed Saddle Problems
Efficient Diffusion Policy Fine Tuning with Latent Noise Representation Bridging
Efficient evaluation and error pattern discovery for blackbox AI systems
Efficient Fine-Tuning for Structured Sparsity Under Group Repartitioning
Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training
Efficient SAM 3 Adaptation for Multi-Class Semantic Segmentation via Dense Competitive Representations
Efficient Scaling of LLM Training with Flexible Context Parallelism
Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes
ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
EmbodiedObject: All-in-One Object Understanding with SLAT
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge
Enabling VLA Action Self-Verification via VLM Token Probability Bucketing
Energy-Tweedie: Score meets Score, Energy meets Energy
Enhancing Agentic Code Localization with Traceability Recovered from Repository Evolution
EnterpriseBench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance
Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
eSAM: Editing SAM3 Attention for Training-Free Referring Segmentation
ES-Merging: Biological MLLM Merging via Embedding Space Signals
Estimating Model-Level Membership Inference Vulnerability Without Reference Models
Evaluating Test-Time Scaling of General LLM Agents
EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning
Every Bit, Everywhere, All At Once: A Binomial Multibit LLM Watermark
EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding
EviSAM3: Evidence-Driven SAM3 for Referring Remote Sensing Image Segmentation
Exact Posterior Score Estimation for Solving Linear Inverse Problems
ExoC2T: An exogenous-driven spatio-temporal learning framework for cross-city transfer
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
Expert-guided Bayesian optimization for sustainable protein formulation
Explaining and Preventing Alignment Collapse in Iterative RLHF
ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection
Exploration via Exploitation: The Blessing of Reward Diversity in Personalized Federated RL
Exposing Private Corpus Leakage in Multimodal RAG
Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
Factorized Gradients for Scalable Highly-expressive Parametric Diffeomorphisms
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
FairMT: Fairness for Heterogeneous Multi-Task Learning
FairSplit: Decomposing the Embedding Space for Fair Classification
FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation
FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization
Fast and Accurate Probing of In-Training LLMs' Downstream Performances
Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data
Fast-Slow Evolutionary Occupancy Prediction via Controlled Dynamics
FAUST: Federated Asynchronous Update with Staggered Timescales for Low-Communication Foundation Model Training
Feature Information Dynamics in Diffusion
Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Feeling of Knowing in Large Language Models
fev-bench: A Realistic Benchmark for Time Series Forecasting
Few Contrastive Attention Heads Enable Visual Grounding in Large Vision-Language Models
Fiedler-Regularized Causal Discovery for Sparse Connected DAGs
Filter Banks: from Low-Rank Representations to Deep Models for Efficient Time Series Forecasting
FinAl: Fine-grained Alignment for Detail-Preserving Medical Vision-Language Pretraining
Finding Koopman Invariant Subspaces via Personalized PageRank
First-Token Attraction in Mamba Dynamics
Fisher Decorator: Refining Flow Policy via A Local Transport Map
FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
FLASH: Efficient Visuomotor Policy via Sparse Sampling
FLINT: Coupling Proximal Initialization and Bounded Stochasticity for Flow-Matching Inverse Problems
Flipping Bits, Not Gradients: Sharpness-Aware Minimization Directly on the Boolean Hypercube
Flow-Guided Target-Space Alignment via Path Consistency
FlowMAS: Learning Multi-Agent Workflow Topology via Information-guided Generative Flow Network
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
FocusBranch: Combinatorial Branch-and-Bound for $\ell_0$ Neural Network Robustness Verification
ForceLDM: A Force-aware Latent Dynamics Model for Contact-Rich Manipulation
Forecasting Downstream Performance of LLMs With Proxy Metrics
Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering
Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
Foveal-Mamba: Inside-Out Ring Scanning with Recurrent Offset Prediction for Visual State Space Models
FracEncoder: Towards Adaptive Cognitive Trajectories via Fractional-Order Context Encoding
FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry
Frank-LoRA: Federated Rank-Aware LoRA for Fine-Tuning Large Models
Frequency‑Aware Flow Matching for Continuous and Consistent Robotic Action Generation
FRESCO: A Novel Consistency Control for Asynchronous Pipeline Parallel Training
From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation
From Expert Knowledge to Optimization Modeling: Prototype-Based Data Synthesis and Logical Reinforcement Learning
From Groups to Rings: Causal Evidence for Algebraic Decomposition in Grokked Transformers
From Ideas to Code: Tree-structured Policy Optimization for Automated Algorithm Design with LLMs
From Infrastructure to Interface, the AI Value Chain Drives LLM Homogenization
From Non-Convex to Strongly Convex: Curvature-Adaptive FTPL for Online Optimization
From Table to Cell: Attention for Better Reasoning with TABALIGN
FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
FUTON: Fourier Tensor Network for Implicit Neural Representations
GCD: Correcting Hidden-State Bias in Off-Policy Agentic RL
GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
Generalization Without Compression Penalty: A Stability Analysis of Error Feedback
Generating in the Limit with Infinitely Many Hallucinations
Generation-Drift-Guided Block Pruning for Large Language Models
Generative Modeling by Value-Driven Transport
Generative Structure from Motion with Native 3D Diffusion
GeneZip: Region-Aware Compression for Long Context DNA Modeling
GenRM-Flow: Generators are Process-aware Reward Models in Flow Matching
GeoG2U-Bench: When Does Generation Help Understanding in Ultra-High-Resolution Remote Sensing?
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension
Geometric Prompt-Trajectory Planning for Test-Time Scaling
Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning
Geometry-Aware Self-Supervised Electrophysiology Representation Learning
Geometry-Aware Subspace Perturbation for Heterogeneous Federated Learning
GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators
Glob3R: Global Structure-from-Motion with 3D Foundation Models
Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
GlyphAnchor: Enhancing Visual Text Rendering via Position-Anchored Glyph Priors
GMOS: Grounding Moving Object Segmentation in 3D Space and Time
GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding
GoT: A Game-Theoretic Approach to the Game of Twenty Questions
GPA: General Principled Framework for Linearizing Softmax Attention via KV Cache Approximation
GPA: Generative Population Annealing for Test-Time Sequence Design with Pretrained Generative Models
Gradient Descent’s Last Iterate is Often (slightly) Suboptimal
Gradient-Mine Units: Scorched-Earth Strategy for Model Protection against Unauthorized Fine-Tuning
Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate
Growing a Neural Network in Breadth, Depth, and Time
Guided Data Generation for Understanding Model Behavior
HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
HetCCL: Efficient LLM Training on Heterogeneous Vendor GPUs
Heteroscedastic TrueSkill: Modeling Match Noise and Player Consistency
Hider–Seeker Self-Play: Geometry-Verifiable Process Rewards for Long-Horizon Visual Search
Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation
High-Dimensional Conditional Independence Testing via Random Projection Aggregation
High Performance Differentially Private Fine-Tuning using Dataset Distillation
High-probability Convergence of Gradient Methods under Markovian Stochasticity
Hint Tuning: Less Data Makes Better Reasoners
Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
Holistic EvoLution via Intrinsic eXchange for Unified Multimodal Models
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
HOPE: Hand-Object Pressure Estimation from Monocular Videos
HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration
How does feature learning change the function space evolution?
How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?
How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness
How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences
How Much is Left? LLMs Linearly Encode Their Remaining Output Length
How to Interpret Agent Behavior
How Useful Is Cross-Domain Generalization for Training LLM Monitors?
Hydra-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control
HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
IDEA: Unwrapping Visual Black-box Models by Interaction Decomposition
IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer
Improved Sample Complexity for Markov Games via Variance-Aware Bandit Learning
Improving Neural Decoding Performance for Language BCIs by Explicitly Modeling Context-Induced Noise
In-Context Learning Can Help Vision Language Models Overcome Training Prior
In-context learning to predict critical transitions in dynamical systems
InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories
Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
IndustryCode: A Benchmark for Industry Code Generation
In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise
Inferring how internal brain state shapes neural responses with state-dependent diffusion models
Information Loss and Disparate Effects in Network Embeddings
InformedXRD: Reproducible Benchmarks and Physics-Informed Evaluation for Powder Diffraction Symmetry Classification
Instance-Dependent Bandit Convex Optimization in One Dimension
InTAct: Interval-based Task Activation Consolidation for Continual Learning
IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
Intent-Aware Caching for Efficient LLM Serving
Inter-domain Inference for Gaussian Process Variational Autoencoders
Internalize External Competence for Visual Instruction Editing
Intrinsic Information Theoretic Analysis of ReLU Nets
Intrinsic-Preserving Schrödinger Bridge for Direct Part-Aware 3D Generation
Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams
Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
Iterative Nonlinear Computation Underlying Abstract Reasoning
It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation
Joint protein, mRNA, DNA sequence design and optimization with nucleotide-level Potts models
Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation
KiteNorm: Variance Regularisation for Stable and Scalable Post-LN Transformers
Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
Know Where You Stand: Memory-Source Choice in Long-Context Dialogue Agents
LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
LAPLEX: The FFT of Learnable Laplace Kernels
Latent Action Reparameterization for Efficient Agent Inference
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models
LDM-is-AE: Latent Diffusion is an Intrinsic Auto-Encoder for End-to-End Image Generation
Leaderboard Hacking: Preference-Based Model Evaluations are Vulnerable to Manipulation
Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
Learning CLI Agents with Structured Action Credit under Selective Observation
Learning Deployable Causal Action Geometry under Temporal Non-Stationarity
Learning Motion-Appearance Coupling Priors for Solving Video Inverse Problems
Learning Robust Reasoning through Guided Adversarial Self-Play
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
Learning to Continually Learn via Meta-learning Agentic Memory Designs
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
Learning to Generate Multiple Objects from Dense and Occluded Layouts
Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret
Learning When to Collaborate: Selective Multi-Agent Medical Reasoning via Uncertainty-Aware Routing
LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
LINK: Learning to Localize from Known to Unknown Scenes
LITE: A Lightweight Lazy Sampler for Efficient SGD
LITHE: Lattice-Indexed Twin Hadamard Encoding for Diffusion Personalization
Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
LLMs Show No Signs Of Individuated Metacognition
Local FDR Membership Inference Attacks: Multiple Testing and the Role of Ridge Regularization
Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions
Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning
Local Sparsity Enables Unsupervised LLM Safety Detection
LoCo: Selective Local Competition for Discriminative Open-Vocabulary Multi-Label Recognition
Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
Log-Likelihood, Simpson’s Paradox, and the Detection of Machine-Generated Text
LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models
LoMo: Local Modality Substitution for Deeper Vision-Language Fusion
LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis
Long-Horizon Agency Belongs in the Harness, Not the Context Window Only
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities
Long-term Embodied Visual Tracking with Lightweight Vision-Language-Action Models
Long-Term Risks of Risk-Based Allocation
Looped Transformers with Layer Normalization Provably Learn the Power Method
Loop-Free Inverse Reinforcement Learning via Sequential Value Recovery
LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization
LR-V2X: Loss Resilient Collaborative Perception under Low-Bandwidth Communication
Mamba Can Learn Low-Dimensional Targets In-Context via Test-Time Feature Learning
ManipulationRAG: Retrieval-Augmented Fine-Grained Manipulation of Object Functional Parts
MARS: Enabling Autoregressive Models Multi-Token Generation
MaskSense: Confronting the Visual Exploration Trap in Masked Image Generation
Matched-Control Tests of Partition-Source Claims in One Routed Distillation Family
Measuring Collapse and Correction in Homogeneous-Panel LLM Debate
Measuring Layer-wise Intrinsic Dimensionality of FFNs in LLMs via PCA
Mechanistic Circuit Identification for Controllable Data Generation
MechParser: A Vision-Language Framework for Parsing Chemical Reaction Mechanism Diagrams
Med-Agentic: Distilling Agentic Medical Reasoning with Internalized Meta-Capabilities
MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
MemCoRe: Recovering Evidence from Progressively Compressed Factual Knowledge for Agent Memory
Memorization Is Folding: Topological Signatures of Noisy-Label Learning
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
MemoryFusion: Cross-Temporal Memory Learning for Multimodal Video Fusion
Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning
MENDR: Manifold-Embedded Neural Data Representations for Channel-Agnostic EEG Foundation Modeling
Merging RLVR-Trained Experts via Policy-Shift-Guided Spectral Alignment
MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
MetaLoop: Benchmarking the Full Metacognitive Loop in LLMs
Metaphor Is Not All Attention Needs
Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
MHWA: Multi-timescale Hierarchical World-Action Model
MilliVid: Adaptive Latents for Long-Range Consistency in Video Generation
Mind the Gap: The Divergent Rebound Dynamics of Diffusion and Autoregressive Model
Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching
Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning
Mitigating Knowledge Conflicts in Retrieval-Augmented Generation via Inference-Time Representation Editing
Mixture-of-Experts for Online Matrix Completion on a Drifting Union of Subspaces
Mixture-of-Hierarchical Experts: Optimized Mamba Architecture for Vision Diffusion
Mixture of Probes: Learning with Privileged Modalities in Multimodal LLMs Through Probing
Mixture-of-Top-$k$ Attention: Efficient Attention as Scalable Fast Weights
MMCompass: Diagnosing Position Bias in Generative Multimodal Reward Models
mmLIP: mmWave Radar-Language Interactive Pretraining via Point Confidence
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
MM-SCALE: Evaluating Evidence-Grounded Moral Judgment in Vision-Language Models
MMSkills: Towards Multimodal Skills for General Visual Agents
MobileMoE: Scaling On-Device Mixture of Experts
MOCHA: Discovering Multi-Order Dynamic Causal Structure in Temporal Point Processes
Model-Aware Tokenizer Transfer
Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds
Modeling Whole-Slide Images as Dynamic Tumor Microenvironment Fields
Models Designed to Forget: Machine Unlearning via Key Deletion
MODULE: A Mutual-Promoting Deep Unfolding Framework Towards Degradation-Robust Multi-modal Image Fusion
MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
MorphGen: Controllable Cell-Image Generation with Biological Representation Alignment
MorphoGen: Free-Form XML Evolution for Robot Morphology Design
MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts
MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning
M-plicits: Neural Implicit Surfaces via Nested Multiscale Residuals
MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information
MuEdit: An efficient multi-task editing method towards inter-domain knowledge conflicts
Multi-bit LLM Watermarking with Certified Semantic Distortion
Multiform Attack for Transferable Cross-Modal Person Re-Identification
Multilateral Resistance-Guided Graph Message Passing for Trade Flow Prediction
Multiscale Supervised Unbalanced Optimal Transport Flow Matching
Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards
MultiSTEVE-1s: A Model Zoo and Interpretability Suite for Instruction-Following Vision Agents
MvFFN: Multi-view Floor-Plan Feed-Forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
MVVBench: Benchmarking 4D Reasoning in Vision-Language Models
Nahual: A Sequence Model for Language and Atoms
NARRA-Gym for Evaluating Interactive Narrative Agents
Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment
Narrowing the Collaboration Gap, Probably
Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
Natural Synthesis: Outperforming Reactive Synthesis Tools with Large Reasoning Models
Navigating by Old Maps: The Pitfalls of Static Mechanistic Localization in LLM Post-Training
Near-Linear Time Generalized Sinkhorn Algorithms for Bounded Genus Graphs
NeSyKC: Neurosymbolic Knowledge Compilation For Lifelong Learning Embodied Agents
Neural Optimal Transport in Hilbert Spaces
NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics
NLD4CO: Neural Langevin Dynamics for Combinatorial Optimization
NORA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning
NORMA: Norm-Guided Explanation Subgraph Discovery
Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer
NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
NyoomFloat12: Accelerating LLM Inference via Lossless 12-bit Weight Compression
OASIS: Online Adaptive Steering for In-Training Safety of LLMs
Objective-Aligned Amortized Inference for Offline Bayes-Adaptive MDP Model Learning
Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
Offline Inverse Reinforcement Learning with Unified Diffusion Planning
OHATP: Graph Anomaly Detection with Orthogonal-Hyperspherical Augmentation and Topology Perception
OmniEgoCap: Camera-Agnostic Sequence-Level Egocentric Motion Reconstruction
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering
OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models
OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling
OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs
On Concentration Inequalities for Sampling without Replacement
On Data Engineering for Scaling LLM Terminal Capabilities
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
Online Causal Configuration for Networked Systems via Doubly Robust Steady-State Learning
Online Differentially Private Consistent Clustering
Online Evaluation of LLMs via Dyadic Designs
Online Fair Division Meets Reordering Buffers
Online Quantile Omniprediction for Proper Losses
On-Policy Counterfactual Influence
On the Feasibility of Identity Manipulation for Diffusion-Based Face Privacy Preservation
On the Information Loss of Multi-Token Prediction: Origin and Solution
On the Instability and Stabilization of Blockwise Muon
On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMs
On the Nonlinearity of Learning Rate Scaling for LLM Training
On the Recoverability of Causal Relations from Bulk Gene Expression Data
On the Sparsity of Direct Preference Optimization: Weight Disentanglement in the NTK Regime
OopsWorld! Operation-Grounded Seamless World Generation
Open-Ended Scientific Discovery and the Social Dynamics of Evolving Agent Networks
OpenSanctions Pairs: A Large-Scale Dataset for Pairwise Entity Matching
Open Vocabulary Domain Unlearning
Optimizing Agent Tool-Use via Trajectory-based Insight Evolution
Origami as a Real-Image Benchmark for Procedural State-Transition Reasoning
OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
Otter Weather: Skillful and computationally-efficient medium-range weather forecasting
Outlier-Robust Multi-Output Gaussian Processes
Out-of-Distribution Detection in Continual Learning
Overcoming Kernel Redundancy for Scaling Logic Gate Networks
OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
PACE: Partial-state Amortized Constraint Editing for Neural Combinatorial Optimization
PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
PANDA: Prior-guided Attentional Dual-path Architecture
Panoptic Saliency Ranking
PaperLens: How Predictable Is Paper Acceptance?
Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General
Parallel Computation Algorithms and Convergence Guarantees for Mean-Field Langevin Dynamics
ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control
Past as State, Present as Attention: Persistent-State Blockwise Flow Matching for Long-Horizon Co-Speech Motion Generation
Patch4Patch: Restoring Structural Connectivity in Patch-based Vision Encoders
Path Dependence under Adaptive AI Delegation
Pathway-Aligned Regulator Tokens for Interpretable Spatial Gene Expression Prediction from Histologyatial Transcriptomics Prediction from Histology
PDE-PFN: Prior-Data Fitted Neural PDE Solver
PepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel Decomposition
Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning
PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning
PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop
PhyTS: A Benchmark for Scientific Time Series
PICID: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains
PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
PISG: Constraint-Aligned Signal Amplification for Diffusion-Based Combinatorial Optimization
Pixels over Symbols: Sensory Realism Improves Behavioral Alignment in Models of Cognition
PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction
Planning Persuasion, Not Utterances: Profile-Conditioned Open-Loop Search for Dialogue Strategy
PlasticMem: Adding Temporal Reasoning to Diffusions for Consistent Long Video Generation
Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning
PoEM: Predicting New RL Outcomes from Existing Policies
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs
Policy-Level Exploration for Coordinated Multi-Agent Reinforcement Learning
Position: AI Development Should Prioritize Cognitive Security
Practical Non-Stationary Graph Gaussian Processes
Predicting What Changes: Causal Delta World Models for Risk-Aware LLM Agent Planning
Prediction-Powered Inference Across Many Tasks for AI Evaluations and Social Science Research
Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement
Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers
Preserving Exploration for LLM Reasoning via Mean Order-Statistic Alignment
Pretraining Curricula Enable Selective Fine-tuning
PRIME: Poincaré return induced measure for learning partially observed dynamical systems
PRIM: Meta-Learned Bayesian Root Cause Analysis
Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference
PRISM:Disentangling Preference Distributions for Generative Ranking
PRISM: Human Point Cloud Reconstruction via Skeleton-Guided Diffusion from MmWave Radar
PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning
ProAlign: Progressive Positional and Prototype-Guided Alignment for Aerial-Ground Person Re-Identification
Probabilistic Tiny Recursive Model
Probing Visual Planning in Image Editing Models
ProEdit: Inversion-based Editing From Prompts Done Right
ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
Prompt Ensemble Image Purification for Test-time Adversarial Robustness of CLIP
Prompting Diffusion Models for Zero-Shot Instance Segmentation
Propagation of Chaos in Contextual Flow Maps
Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
Prototype-Aligned Multi-View Graph Learning for EHR Prediction
Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences
PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping
pyCD: A Unified Benchmark for Reliable Evaluation of Cognitive Diagnosis Models
Pygmalion: Bridging Reconstruction and Generation in Sparse Voxel-based 3D Modeling
Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
QB-Highlights: Quality-Guided Budgeted Highlight Detection in Videos with Dense Query-Relevant Moments
QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
RadarMAE: Injecting Physical Inductive Biases into Masked Autoencoders for Advanced Radar Object Detection
RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis
Random features for Grassmannian kernel approximation with bounded rank-one projections
Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario
Random Neural Network Expressivity for Non-Linear Partial Differential Equations
Rank-Constrained Adaptation for Reliable Real-World Performance
RAPDrive: Shared-Latent Hybrid Decoding for Reasoning and Planning in Autonomous Driving
Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs
ReasoningShield: Safety Moderation over Reasoning Traces of Large Reasoning Models
Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
RecMem: Recurrent Memory Compression for Long-Sequence Recommendation
Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models
Reconsidering Positional Supervision in Masked Diffusion Language Model Training
Reconstructing the Vocal Tract with Differentiable Acoustic Simulation
Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
RedVLA: Physical Red Teaming for Vision-Language-Action Models
Refactoring Code Through Library Design
Refining Compositional Diffusion for Reliable Long-Horizon Planning
ReGDiff: Guided Diffusion in Regulated Latent Space for Exploring Metamaterial Voxel Geometry
Regret-Optimal Wasserstein-Robust Regression
ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
Reinforced Fast Weights via Next-Sequence Prediction
REINS: A Self-Evolving Agent Harness for Real-Time Trajectory Planning
Releasing Anchors from Cross-View Correspondence: Probabilistic Multi-View Anchor Graph Clustering
RepoZero: Can LLMs Generate a Code Repository from Scratch?
ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression
Resolvent Ellipsoid for Minty Set Inclusions
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
Rethinking Reward Models for Multi-Domain Test-Time Scaling
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
RevengeBench: Reverse Engineering Code-Space Policies from Behavioral Experiments
REVERSE: Reinforcing Evidence Verification and Search for Agentic Image Geolocation
Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review
Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures
Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization
Reward Hacking in Rubric-Based Reinforcement Learning
Reward Inflation: A Healthy Stimulus for Reinforcement Learning
Reward Modeling for Multi-Agent Orchestration
Reweighted Flow Matching via Unbalanced Optimal Transport for Label-free Long-tailed Generation
Riemannian Admissibility Flow for Offline-to-Online Safe Reinforcement Learning
RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Single-View Video
RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation
Risk-Controlled Post-Processing of Decision Policies
RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents
RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades
ROAD: Rule-Grounded Context-Aware Open-World Driver Anomaly Detection
Robust PAC Learning of Concurrent Stochastic Games
Roll2Depth: Zero-Shot Metric Depth Estimation Exploiting Camera's Rolling Shutter Effect
RSPReg: Reliability-aware Structural Prototype Learning for Point Cloud Registration
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs
Rubato: Transcribing Piano Music with Timestamps
Runtime Analysis of Cartesian Genetic Programming on MAX: A Proven Exponential Speedup
RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
SamaDICE: Safe Multi-Agent Reinforcement Learning with Stationary Distribution Correction Estimation
Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
SAVeR$^2$: Reasoning-based Safety Alignment for Large Reasoning Models via Verifiable Rewards
Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video
ScAn-Bench: Evaluating Scaling Analysis Methodology
SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision
Seeing but Not Detecting: Privacy-Preserving Scene Text Attack via Hybrid Adversarial Policy Learning
Seeing or Rationalizing? Scene-Evidence-Guided Chain-of-Thought for Faithful 3D Multimodal Reasoning
Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models
Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery
Selective Off-Policy Reference Tuning with Plan Guidance
Selective Rollout: Mid-Trajectory Termination for Multi-Sample Agent RL
Self-Evolution Reasoner: Continuous Optimization via Policy-Intrinsic Exploration and Exploitation
Self-Improving World Modelling with Latent Actions
Self-Recognition Finetuning can Reverse and Prevent Emergent Misalignment
Semiparametrically Efficient Inference for Kernel Measures of Noise Heterogeneity
Sequential Probability Assignment against Smoothed Adversaries with Unknown Base Measure
Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality
Shared-Noise Mechanisms for Verifiable Differentially Private Counting
Sharper Regret Bounds for Shampoo
Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
SIGA: Scientific Simulation Coding Agent Adapter- A Geophysics Case Study
SignRot: LLM Quantization with Massive Outlier-Aware Sign-Adjusted Rotation
SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design
Simple yet Effective Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization
SimpliHuMoN: Simplifying Human Motion Prediction
Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
SIRAS: Sibling-Relative Advantage Shaping for Reinforcement Learning from Verifiable Rewards
SituRecBench: Evaluating Frontier Models as Situated Recommendation Assistants in 3D Environments
Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
SkipSR: Faster Super-Resolution with Token Skipping
SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation
SLIDERS: Systematic Reviews via Automated Evidence Synthesis and Reconciliation
SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
SNACK: A Sequential Notation Framework for Probabilistic Graph Generation
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
Source-Causal Control of Historical Context in Longitudinal Radiology Report Generation
SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models
Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning
SpecBlock: Block-Iterative Speculative Decoding with Dynamic Tree Drafting
Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling
Spectral Insights from the Unconstrained Feature Model for Neural Multi-Output Regression
Spectral Representations for Provably Robust Offline Meta-Reinforcement Learning from Bagged Rewards
Speculative Self-Distillation enables Efficient Knowledge Internalization
Splatting the Invisible: Geometry and Appearance Scene Completion from Sparse Views
Stable and Granular Policy Optimization for Generative Recommendation
StableAvatar: Ultra-Long Audio-Driven Avatar Video Generation
Stage Light is Sequence$^2$: Multi-Light Control via Imitation Learning
State-Resolving Attention for Length-Extrapolating Transformers
StateTree: Enhancing Long-term Dialogue Reasoning via Reinforcement Learning
Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models
SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization
Steer2Edit: From Activation Steering to Component-Level Editing
Stochastic Heat Diffusion Models
STRABLE: Benchmarking Tabular Machine Learning with Strings
Strategic Causal Policy Learning: Welfare, Safety, and Fairness Thresholds
StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
Structural Causal Bottleneck Models
Structural Entropy Optimized Communication for Multi-Agent Reinforcement Learning
Structured Coupling for Flow Matching
Structured Transforms for Low-Overhead Quantization of Language Models
Substrata: Know What You Don't Know
SuperSycophantic: Stress-Testing Frontier LLMs from Single- to Multi-Turn Sycophancy
Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
Surface Recovery Is Not State Recovery: Pressure–Recovery–Relapse in Multi-turn LLMs
SurgReasoner: Surgical Reasoning Segmentation with Dynamic Difficulty-Aware Reinforcement Learning
Surrogate Calibration for Transferable Adversarial Attacks against Black-Box MLLMs
Survival Transformers for Longitudinal Data Analysis: Application to Atrial Fibrillation Risk from ECG
SVG-3D: Mining Decision Boundaries with Generative Splatting Priors for Zero-Shot 3D Classification
SWE-Crafter: Scaling Executable Multilingual Software Engineering Data with Meta-Skill Agents
SwitchLingua V2: Agent-Driven Code-Switching via Digital Clones
Symmetry Guarantees Statistic Recovery in Variational Inference
Symplectic Parallel Scan: A Neural Hamiltonian Framework for Accelerated Scientific Simulation
SynthHair: Leveraging MetaHumans for a High-Quality 4K Hair Matting Dataset
TailCon: Mitigating Tail Signal Erosion through Memory Consolidation for Long-Tailed Recognition
TailFix: Mitigating Error Accumulation and Correcting Tail Deterioration in Long-Horizon Forecasting
TALES: Text-Adventure Learning Environment Suite
Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence
Tapes Together Strong: The Co-evolution of Computation and Cooperation
Target-Aware Nuisance Shaping for Object Detection
Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language
TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents
Text-Vision Co-Instructed Image Editing
TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs
The Aleatoric-Epistemic Dichotomy of Uncertainty is Meaningful and Indispensable for Machine Learning
The Denoising Wrapper: A Modular Post-Processing Framework for Noisy First-Order Optimizers
The Era of Agentic Organization: Learning to Organize with Language Models
The Fault in Our Metrics: Revisiting Generative Model Evaluation with Chamfer Distance
The Fractured Interlingua: Geometric Bottlenecks in Cross-Lingual Knowledge Editing
The Illusion of Diversity: Aligning LLM Exploration via Effective Entropy
The Kernel Reality Check: Benchmarking and Distilling Efficient Attention at Scale
The Key to Going Linear: Analysis-Driven Transformer Linearization
The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge
The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training
The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction
The Scaling Laws of Skills in LLM Agent Systems
TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval
Time-Sensitive Anytime-Valid Testing
Time to Pay Attention! Understanding High Complexity Corpus Reasoning Tasks
TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment
Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation
Tool Verification for Test-Time Reinforcement Learning
TopoCurve: Geometry-Aware Topology Reasoning via Bézier Curves in Autonomous Driving
TopoScope: A Graph-Scoped LLM Agent for Printed Circuit Board Schematic Design
Total Variation Distance Estimation in Autoregressive Models
Towards Characterizing Scientific Image Utility and Upgradability
Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers
Towards Generalist Graph-Level Anomaly Detection
Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling
Towards Generalizable Partially Relevant Video Retrieval
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Towards Principled Efficient Rollout Allocation in Test-Time Training
Towards Realistic Conversational Multimodal Instruction Following
Towards Scalable Egocentric HOI for Humanoids: Benchmarking Whole-Body Dexterous Interaction with Tactile Prediction
Towards Unified Memory Adaptation for LLM Agents: Textual, Latent, and Parametric Pathways
Towards Universal Black-box Attacks on Graph Neural Networks
TPO: Tri-level Distributionally Robust Learning for OOD Direct Preference Optimization
TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning
TraceGuard: Defending Multi-Turn Jailbreak Attacks via Prompt-Response Risk Signal Tracking
Tracing Psychometric Inference in Large Language Models
TrackFish3D: Self-Supervised 3D Tracking of Schooling Fish from Multi-view Videos
TrAction: Action Recognition with Sparse Trajectories
Training-Free Task Vectors for LLM Behavioral Control
Training Language Models to Explain Their Own Computations
Training Quality Determines Efficiency Boundaries in Test-Time Reasoning
Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning
TrajEvolve: Trajectory Evolution for Reinforcement Learning with Hindsight Credit Assignment
TReDS: Trajectory-Grounded Requirement-Capability Modeling for Training Distribution Shaping in Tool-Interactive Tasks
Tree-Guided Identify Then Exploit: A Unified Framework of Pure Exploration and Regret Minimization for Dueling Bandits
Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASH
Tree Training: Efficient LLM Training on Tree-Structured Trajectories
TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
Tropical Gaussian Anticoncentration: Settling Optimal Instance-Dependent Bounds for Online Learning in Extensive-Form Games
Trust What Matters: Language-Conditioned Evidence Routing for Video-IMU Action Question Answering
TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
TwinFlux: One-Step Discrete-Continuous Flow for End-to-End Autonomous Driving
Two Drifts, One Principle: Conflict-Aware Spectral Consolidation for Multimodal Continual Learning
Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
Ultra-DPO: Reimagining LLM Alignment as a Semi-Supervised Task
Uncertainty Quantification of Least Squares Estimator for Generalized Orthogonal Procrustes Problems
Understanding and Mitigating Under-Confidence in GNNs from the Final Layer
Understanding Sample Efficiency in Predictive Coding
Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles
Understanding the Surprising Generalization Properties of Tabular Foundation Models
Unified Forensic Preference Learning for Generalizable Synthetic Image Detection
Unified Noise Steering for Efficient Human-Guided VLA Adaptation
UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalities
Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation
UniMoE-World: A Unified Mixture-of-Experts Architecture for Scalable Multi-Control Video Generation World Modeling
UniRAP: Towards Unified Part-level Physical Affordance Reasoning and Actionable Perception
Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning
Universal and Efficient Computation with 2D Attention
Universal Byte-Level Encoding: UTF-8/UTF-16 Routing to Reduce Cross-Script Token-Budget Disparities
UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
Unveiling Entropy-Performance Decoupling in Agentic RL for Tool-Integrated Reasoning
UTOPI: Efficient Egocentric Long-Video Understanding in AR via User-Guided Token Pre-Compression
V1-Inspired Dynamic Vision System: A Bio-Plausible Video Embedding Framework with Decoupled Shape–Color Pathways and Long-Range Spatiotemporal Perception
VAMIRec: Value-Aware Memory Intervention for Continual Recommendation
Variational Approach to Optimal IPS Estimator for Multi-logger Off-Policy Evaluation
VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
VistaQA: Benchmarking Joint Visual Question Answering and Pixel-Level Evidence
Visual-ERM: Reward Modeling for Visual Equivalence
Visual Harness: Grounding Multimodal Reasoning in Physics Engines
Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
Visual Reinforcement Fine-Tuning via Bootstrapped Medical Reasoning
VisualWorldBench: A Fine-Grained Multi-Task Benchmark for Evaluating Visual World Knowledge in MLLMs
VL-DocIR: A Benchmark for Vision-Based Long Document Retrieval
VLM$^3$: Vision Language Models Are Native 3D Learners
Volatility-Whitened Probabilistic Residual Modeling for Long-Term Time Series Forecasting
VoluCore: Spanning Teacher Representations with Volumetric Coresets for Data-Efficient LLM Distillation
Voxel as Token: A New Perspective for Zero-shot Cross-subject Vision Decoding
VTBench: Disentangled and Human-Aligned Evaluation for Image-Based Virtual Try-on
Walking Through 3D Spaces: Spatial Routing for Referring 3D Gaussian Splatting Segmentation
Watermarking Game-Playing Agents in Perfect-Information Extensive-Form Games
WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos
What Does a Sparse Autoencoder Feature Do? A Weight-Based Account
What Does the Brain See? Multiview Neural Representation to Demystify the Brain-Visual Alignment
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
What Kind of Diffusion Models Do We Need in Online Reinforcement Learning?
What Makes Two States the Same? Value-Aware State Matching for Multi-Turn Agent Credit Assignment
What Should Remain After Forgetting? Rethinking LLM Unlearning as Predictive Posterior Correction
What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework
When Confidence Rises Too Early: Detecting Shortcut Reasoning via Premature Answer Commitment
When Does Graph Retrieval Become Answer-Supporting Evidence? A Diagnostic Audit of GraphRAG
When Does Non-Uniform Replay Matter in Reinforcement Learning?
When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon
When do Prophets Profit in Prediction Markets?
When Is Rank-1 Steering Cheap? Geometry, Granularity, and Budgeted Search
When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
When to Adopt Model Updates
When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation
Where Should Society Draw the Line? A Social Choice Approach to Collective Consent
Where to Look Is Not How to Fix: Pre-Denoising Diagnostics and Modality-Dependent Control in Diffusion Composition
Winfree Oscillatory Neural Network
WiREBench: Evaluating AI Agents' Capabilities in Reverse-Engineering Black-Box Applications in the Real World
WirelessMathBench-XL: A Contamination-Audited Benchmark for Wireless Mathematical Reasoning
Working with AI: Measuring the Applicability of Generative AI to Occupations
WorldComposer: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
WorldPrism: 3D Consistency for Video World Models via Bidirectional Cross-Space Verification
WorldSR: Harnessing World Knowledge Search for Grounded Image Super-Resolution
XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor’s Internal States
Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
ZO-F2: Low-variance Fisher preconditioner via bilinear estimation for zeroth-order optimization
μLM: Rethinking Sub-100M Language Models through Memory-First Design
Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair
Auditing Closed-Loop Learning in Recurrent Neural Networks: Reproduction, Robustness, and Generalization
A Reproduction Study of Weight-Based Mechanistic Interpretability in Bilinear MLPs
Evaluating the evidence trace of NeurIPS 2025 contributions with agentic code auditing
Reproducibility study of FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering
[Re] Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning
WAREX: Web Agent Reliability Evaluation on Existing Benchmarks
Stable Continuous-Time Consistency Distillation: An Empirical Study with a Multistep Extension
Opening Up a New Layer: A Deeper Look into "Interpreting CLIP with Hierarchical Sparse Autoencoders"
[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL
Reproducibility study of "Bilinear MLPs enable weight-based mechanistic interpretability"
Revisiting "Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing"
Revisiting B2T: Discovering and Mitigating Visual Biases through Keyword Explanations
XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher
Revisiting RegressionMSR: A Reproducibility Study
(ends 8:00 PM)

FRI 11 DEC
9 a.m.
Break:
Coffee & Snacks
(ends 9:30 AM)
noon
Break:
Retail Lunch
(ends 1:00 PM)
3 p.m.
Break:
Coffee & Snacks
(ends 3:30 PM)
5:30 p.m.
Reception:
Workshop Reception
(ends 7:30 PM)

SAT 12 DEC
9 a.m.
Break:
Coffee & Snacks
(ends 9:30 AM)
noon
Break:
Retail Lunch
(ends 1:00 PM)
3 p.m.
Break:
Coffee & Snacks
(ends 3:30 PM)