NeurIPS 2025 Friday 12/5

Timezone: America/Los_Angeles

Full Schedule Sun 11/30 Mon 12/1 Tue 12/2 Wed 12/3 Thu 12/4 Fri 12/5 Sat 12/6 Sun 12/7

Registration Desk

7:30 AM - 6:00 PM

Invited Talk

From Benchmarks to Problems - A Perspective on Problem Finding in AI

Kyunghyun Cho

8:30 AM - 9:30 AM

During the past 15 years or so, I have worked on a series of seemingly distinct but eventually related problems, including machine learning algorithms, generative modeling with neural networks, machine translation, language modeling, medical imaging, a bit of healthcare, protein modeling and a bit of drug discovery. I chose to work on some of these problems intentionally, while it was pure serendipity that I worked on some others. It was only in hindsight that these seemingly different problems turned out to be closely related to each other from both technical, social and personal perspectives. In this talk, I plan to do my own retrospective on my own choices, be them intentional or not, on these problems and share with you my thoughts what our own discipline, which is sometimes called computer science, data science, machine learning or artificial intelligence, is.

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Speaker Bio

Kyunghyun Cho - Glen de Vries Professor of Health Statistics, NYU; Executive Director of Frontier Research, Prescient Design, Genentech Cho's work spans machine learning and natural language processing. He co-developed the Gated Recurrent Unit (GRU) architecture and has contributed to neural machine translation and sequence-to-sequence learning. He is a CIFAR Fellow of Learning in Machines & Brains and received the 2021 Samsung Ho-Am Prize in Engineering. He served as program chair for ICLR 2020, NeurIPS 2022, and ICML 2022.

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Oral

Oral 5A Language Model 3

10:00 AM - 11:00 AM

3 Events in this session

EvoLM: In Search of Lost Language Model Training Dynamics

Zhenting Qi · Fan Nie · Alexandre Alahi · James Zou · Himabindu Lakkaraju · Yilun Du · Eric Xing · Sham Kakade · Hanlin Zhang

Large Language Diffusion Models

Shen Nie · Fengqi Zhu · Zebin You · Xiaolu Zhang · Jingyang Ou · Jun Hu · Jun Zhou · Yankai Lin · Ji-Rong Wen · Chongxuan LI

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Yang Yue · Zhiqi Chen · Rui Lu · Andrew Zhao · Zhaokai Wang · Yang Yue · Shiji Song · Gao Huang

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Oral

Oral 5D Application 3

10:00 AM - 11:00 AM

3 Events in this session

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch

Zimu Lu · Yunqiao Yang · Houxing Ren · Haotian Hou · Han Xiao · Ke Wang · Weikang Shi · Aojun Zhou · Mingjie Zhan · Hongsheng Li

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training

David Dai · Peilin Chen · Chanakya Ekbote · Paul Liang

NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI

Cosmin Bercea · Jun Li · Philipp Raffler · Evamaria O. Riedel · Lena Schmitzer · Angela Kurz · Felix Bitzer · Paula Roßmüller · Julian Canisius · Mirjam Beyrle · Che Liu · Wenjia Bai · Bernhard Kainz · Julia Schnabel · Benedikt Wiestler

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Oral

Oral 5E Neuroscience

10:00 AM - 11:00 AM

3 Events in this session

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

Valentin Schmutz · Ali Haydaroğlu · Shuqi Wang · Yixiao Feng · Matteo Carandini · Kenneth D Harris

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain

Trinity Chung · Yuchen Shen · Nathan Kong · Aran Nayebi

Memory Mosaics at scale

Jianyu Zhang · Leon Bottou

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Oral

Oral 5C Generation/Simulation 3

10:00 AM - 11:00 AM

3 Events in this session

InfinityStar: Uniﬁed Spacetime AutoRegressive Modeling for Visual Generation

Jinlai Liu · Jian Han · Bin Yan · Hui Wu · Fengda Zhu · Xing Wang · Yi Jiang · BINGYUE PENG · Zehuan Yuan

PlayerOne: Egocentric World Simulator

Yuanpeng Tu · Hao Luo · Xi Chen · Xiang Bai · Fan Wang · Hengshuang Zhao

BEDLAM2.0: Synthetic humans and cameras in motion

Joachim Tesch · Giorgio Becherini · Prerana Achar · Anastasios Yiannakidis · Muhammed Kocabas · Priyanka Patel · Michael Black

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Oral

Oral 5B Multimodel 3

10:00 AM - 11:00 AM

3 Events in this session

Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation

Wenbin An · Jiahao Nie · Feng Tian · Haonan Lin · mingxiang cai · Yaqiang Wu · QianYing Wang · Xiaoqin Zhang · Shijian Lu

HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models

Zelin Peng · Zhengqin Xu · Qingyang Liu · Xiaokang Yang · Wei Shen

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion

Qing-Yuan Jiang · Longfei Huang · Yang Yang

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Poster

San Diego Poster Session 5

11:00 AM - 2:00 PM

950 Events in this session

Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation

hanzhuo tan · Xiaolong Tian · Hanrui Qi · Jiaming Liu · Siyi Wang · GAO Zuchen · Qi Luo · Jing Li · Yuqun Zhang

Differentiable Generalized Sliced Wasserstein Plans

Laetitia Chapel · Romain Tavenard · Samuel Vaiter

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

Weixin An · Yuanyuan Liu · Fanhua Shang · Han Yu · Junkang Liu · Hongying Liu

Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits

Md Mobasshir Arshed Naved · Wenbo Xie · Wojciech Szpankowski · Ananth Grama

FlashMoE: Fast Distributed MoE in a Single Kernel

Osayamen Aimuyo · Byungsoo Oh · Rachee Singh

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

Hanze Guo · Jing Yao · Xiao Zhou · Xiaoyuan Yi · Xing Xie

Model Provenance Testing for Large Language Models

Ivica Nikolic · Teodora Baluta · Prateek Saxena

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk

Sean McGregor · Vassil Tashev · Armstrong Foundjem · Aishwarya Ramasethu · Sadegh AlMahdi Kazemi Zarkouei · Chris Knotz · Kongtao Chen · Alicia Parrish · Anka Reuel-Lamparth · Heather Frase

Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates

Hang Chen · Jiaying Zhu · Xinyu Yang · Wenya Wang

Large language models can learn and generalize steganographic chain-of-thought under process supervision

ROBERT MC CARTHY · Joey SKAF · Luis Ibanez-Lissen · Vasil Georgiev · Connor Watts · Hannes Whittingham · Lorena Gonzalez-Manzano · Cameron Tice · Edward Young · Puria Radmard · David Lindner

From Black-box to Causal-box: Towards Building More Interpretable Models

Inwoo Hwang · Yushu Pan · Elias Bareinboim

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis

Chaofan Li · Jianlyu Chen · Yingxia Shao · Defu Lian · Zheng Liu

Fast Data Attribution for Text-to-Image Models

Sheng-Yu Wang · Aaron Hertzmann · Alexei Efros · Richard Zhang · Jun-Yan Zhu

Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration

Thomas Decker · Volker Tresp · Florian Buettner

A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning

Guan Zhe Hong · Nishanth Dikkala · Enming Luo · Cyrus Rashtchian · Xin Wang · Rina Panigrahy

Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers

Zhuomeng Zhang · Fangqi Li · Hanyi Wang · Shi-Lin Wang

Interpreting vision transformers via residual replacement model

Jinyeong Kim · Junhyeok Kim · Yumin Shim · Joohyeok Kim · Sunyoung Jung · Seong Jae Hwang

In-Context Learning Strategies Emerge Rationally

Daniel Wurgaft · Ekdeep S Lubana · Core Francisco Park · Hidenori Tanaka · Gautam Reddy · Noah Goodman

DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models

Simone Carnemolla · Matteo Pennisi · Sarinda Samarasinghe · Giovanni Bellitto · Simone Palazzo · Daniela Giordano · Mubarak Shah · Concetto Spampinato

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Nikhil Kandpal · Brian Lester · Colin Raffel · Sebastian Majstorovic · Stella Biderman · Baber Abbasi · Luca Soldaini · Enrico Shippole · A. Feder Cooper · Aviya Skowron · Shayne Longpre · Lintang Sutawika · Alon Albalak · Zhenlin Xu · Guilherme Penedo · Loubna Ben allal · Elie Bakouch · John Pressman · Honglu Fan · Dashiell Stander · Guangyu Song · Aaron Gokaslan · John Kirchenbauer · Tom Goldstein · Brian Bartoldson · Bhavya Kailkhura · Tyler Murray

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Sang Choe · Hwijeen Ahn · Juhan Bae · Kewen Zhao · Youngseog Chung · Adithya Pratapa · Willie Neiswanger · Emma Strubell · Teruko Mitamura · Jeff Schneider · Eduard Hovy · Roger Grosse · Eric Xing

Faithful Group Shapley Value

Kiljae Lee · Ziqi Liu · Weijing Tang · Yuan Zhang

Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation

Jinyang Li · Jack Williams · Nick McKenna · Arian Askari · Nicholas Wilson · Reynold Cheng

Steering Generative Models with Experimental Data for Protein Fitness Optimization

Jason Yang · Wenda Chu · Daniel Khalil · Raul Astudillo · Bruce Wittmann · Frances Arnold · Yisong Yue

Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding

Kaixiang Huang · Qifeng Zhang · Jin Wang · Jingru Yang · Yang Zhou · Huan Yu · Guodong Lu · Shengfeng He

Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation

Muquan Li · Hang Gou · Dongyang Zhang · Shuang Liang · Xiurui Xie · Deqiang Ouyang · Ke Qin

Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning

Jiayu Zhang · Changbang Li · Yinan Peng · Weihao Luo · Peilai Yu · Xuan Zhang

Scaling Up Active Testing to Large Language Models

Gabrielle Berrada · Jannik Kossen · Freddie Bickford Smith · Muhammed Razzak · Yarin Gal · Thomas Rainforth

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Shuhai Zhang · ZiHao Lian · Jiahao Yang · Daiyuan Li · Guoxuan Pang · Feng Liu · Bo Han · Shutao Li · Mingkui Tan

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models

Yue Xu · Chengyan Fu · Li Xiong · Sibei Yang · Wenjie Wang

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning

Li Zhang · Zhongxuan Han · XiaoHua Feng · Jiaming Zhang · Yuyuan Li · Chaochao Chen

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

Hongyi Henry Jin · Zijun Ding · Dung Daniel Ngo · Steven Wu

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts

Yueh-Han Chen · Guy Davidson · Brenden Lake

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models

Charvi Rastogi · Tian Huey Teh · Pushkar Mishra · Roma Patel · Ding Wang · Mark Díaz · Alicia Parrish · Aida Mostafazadeh Davani · Zoe Ashwood · Michela Paganini · Vinodkumar Prabhakaran · Verena Rieser · Lora Aroyo

From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers

Praneet Suresh · Jack Stanley · Sonia Joseph · Luca Scimeca · Danilo Bzdok

Regression Trees Know Calculus

Nathan Wycoff

AdaptGrad: Adaptive Sampling to Reduce Noise

Linjiang Zhou · Chao Ma · Zepeng Wang · Libing Wu · XIAOCHUAN SHI

DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control

Oleksii Furman · Ulvi Movsum-zada · Patryk Marszałek · Maciej Zieba · Marek Śmieja

DroneAudioset: An Audio Dataset for Drone-based Search and Rescue

Chitralekha Gupta · Soundarya Ramesh · Praveen Sasikumar · Kian Yeo · Suranga Nanayakkara

Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders

James Oldfield · Shawn Im · Sharon Li · Mihalis Nicolaou · Ioannis Patras · Grigorios Chrysos

OrdShap: Feature Position Importance for Sequential Black-Box Models

Davin Hill · Brian Hill · Aria Masoomi · Vijay Nori · Robert Tillman · Jennifer Dy

SpEx: A Spectral Approach to Explainable Clustering

Tal Argov · Tal Wagner

ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning

Rose Gurung · Ronilo Ragodos · Chiyu Ma · Tong Wang · Chaofan Chen

Refusal Direction is Universal Across Safety-Aligned Languages

Xinpeng Wang · Mingyang Wang · Yihong Liu · Hinrich Schuetze · Barbara Plank

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

Brian Bartoldson · Siddarth Venkatraman · James Diffenderfer · Moksh Jain · Tal Ben-Nun · Seanie Lee · Minsu Kim · Johan Obando Ceron · Yoshua Bengio · Bhavya Kailkhura

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu · Zihao Li · Ze Yang · Tianxin Wei · Jian Kang · Yada Zhu · Hendrik Hamann · Jingrui He · Hanghang Tong

CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing

Guozhen Zhu · Yuqian Hu · Weihang Gao · Wei-Hsiang Wang · Beibei Wang · K. Liu

nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning

Tianqi Luo · Chuhan Huang · Leixian Shen · Boyan Li · Shuyu Shen · Wei Zeng · Nan Tang · Yuyu Luo

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents

Nandan Thakur · Jimmy Lin · Samuel Havens · Michael Carbin · Omar Khattab · Andrew Drozdov

MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning

Seong-Hyeon Hwang · Soyoung Choi · Steven Whang

Residual Stream Analysis of Overfitting And Structural Disruptions

Quan Liu · Han Zhou · Wenquan Wu · Hua Wu · Sen Su

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling

Yichuan Cao · Yibo Miao · Xiao-Shan Gao · Yinpeng Dong

Towards Generalizable Detector for Generated Image

Qianshu Cai · Chao Wu · Yonggang Zhang · Jun Yu · Xinmei Tian

ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation

Ziyuan Luo · Yangyi Zhao · Ka Chun Cheung · Simon See · Renjie Wan

Non-Adaptive Adversarial Face Generation

Sunpill Kim · Seunghun Paik · Chanwoo Hwang · Minsu Kim · Jae Hong Seo

Strategic Costs of Perceived Bias in Fair Selection

L. Elisa Celis · Lingxiao Huang · Milind Sohoni · Nisheeth K. Vishnoi

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?

Paul Gölz · Nika Haghtalab · Kunhe Yang

Mask Image Watermarking

Runyi Hu · Jie Zhang · Shiqian Zhao · Nils Lukas · Jiwei Li · Qing Guo · Han Qiu · Tianwei Zhang

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Yangyang Guo · Fangkai Jiao · Liqiang Nie · Mohan Kankanhalli

From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring

Yang Li · Qiang Sheng · Yehan Yang · Xueyao Zhang · Juan Cao

Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies

Tianxing Man · Yu Bai · Ganyu Wang · Jinjie Fang · Haoran Fang · Bin Gu · Yi Chang

One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head

Junhao Xia · Haotian Zhu · Shuchao Pang · Zhigang Lu · Bing Li · Yongbin Zhou · Minhui Xue

FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA

Songqi Zhou · Zeyuan Liu · Benben Jiang

Emergent Risk Awareness in Rational Agents under Resource Constraints

Daniel Jarne Ornia · Nicholas Bishop · Joel Dyer · Wei-Chen Lee · Anisoara Calinescu · Doyne Farmer · Michael Wooldridge

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks

Ashley Kurian · Aydin Aysu

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data

Shlomi Hod · Lucas Rosenblatt · Julia Stoyanovich

Exploring the limits of strong membership inference attacks on large language models

Jamie Hayes · I Shumailov · Christopher Choquette-Choo · Matthew Jagielski · Georgios Kaissis · Milad Nasr · Meenatchi Sundaram Muthu Selva Annamalai · Niloofar Mireshghallah · Igor Shilov · Matthieu Meeus · Yves-Alexandre de Montjoye · Katherine Lee · Franziska Boenisch · Adam Dziedzic · A. Feder Cooper

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy

Bogdan Kulynych · Juan Gomez · Georgios Kaissis · Jamie Hayes · Borja Balle · Flavio Calmon · Jean Raisaro

Vid-SME: Membership Inference Attacks against Large Video Understanding Models

Qi Li · Runpeng Yu · Xinchao Wang

Private Geometric Median in Nearly-Linear Time

Syamantak Kumar · Daogao Liu · Kevin Tian · Chutong Yang

Rethinking the Role of Verbatim Memorization in LLM Privacy

Tom Sander · Bargav Jayaraman · Mark Ibrahim · Kamalika Chaudhuri · Chuan Guo

Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming

Zhao Song · Jianfei Xue · Lichen Zhang

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training

Xin Yao · Haiyang Zhao · Yimin Chen · Jiawei Guo · Kecheng Huang · Ming Zhao

Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy

Leheng Cai · Qirui Hu · Juntao Sun · Shuyuan Wu

Ascent Fails to Forget

Ioannis Mavrothalassitis · Pol Puigdemont · Noam Levi · Volkan Cevher

OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration

Guancheng Wan · Jiaru Qian · Wenke Huang · Qilin Xu · Xianda Guo · Boheng Li · Guibin Zhang · Bo Du · Mang Ye

FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model

Jinwei Hu · Zhenglin Huang · Xiangyu Yin · Wenjie Ruan · Guangliang Cheng · Yi Dong · Xiaowei Huang

Sketched Gaussian Mechanism for Private Federated Learning

Qiaobo Li · Zhijie Chen · Arindam Banerjee

Flick: Empowering Federated Learning with Commonsense Knowledge

Ran Zhu · Mingkun Yang · Shiqiang Wang · Jie Yang · Qing Wang

Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards

Bryan Wilder · Angela Zhou

How Well Can Differential Privacy Be Audited in One Run?

Amit Keinan · Moshe Shenfeld · Katrina Ligett

Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections

Wei Zhuo · Zhaohuan Zhan · Han Yu

Private Hyperparameter Tuning with Ex-Post Guarantee

Badih Ghazi · Pritish Kamath · Alexander Knop · Ravi Kumar · Pasin Manurangsi · Chiyuan Zhang

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions

Polina Kirichenko · Mark Ibrahim · Kamalika Chaudhuri · Samuel J. Bell

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong · Yuheng Tu · Michael Hardy · Anka Reuel-Lamparth · Zeyu Tang · Jirayu Burapacheep · Jonathan Perera · Chibuike Uwakwe · Benjamin Domingue · Nick Haber · Sanmi Koyejo

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?

Yiwei Yang · Chung Peng Lee · Shangbin Feng · Dora Zhao · Bingbing Wen · Anthony Liu · Yulia Tsvetkov · Bill Howe

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Yige Li · Hanxun Huang · Yunhan Zhao · Xingjun Ma · Jun Sun

Detecting Generated Images by Fitting Natural Image Distributions

Yonggang Zhang · Jun Nie · Xinmei Tian · Mingming Gong · Kun Zhang · Bo Han

Exploring the Noise Robustness of Online Conformal Prediction

HuaJun Xi · Kangdao Liu · Hao Zeng · Wenguang Sun · Hongxin Wei

Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM

Xiaoyu Wu · Yifei Pang · Terrance Liu · Steven Wu

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach

Yuchen Wu · Edward Sun · Kaijie Zhu · Jianxun Lian · José Hernández-Orallo · Aylin Caliskan · Jindong Wang

Differentially Private Relational Learning with Entity-level Privacy Guarantees

Yinan Huang · Haoteng Yin · Eli Chien · Rongzhe Wei · Pan Li

ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination

Xiaoyi Pang · Xuanyi Hao · Song Guo · Qi Luo · Zhibo Wang

Memory Injection Attacks on LLM Agents via Query-Only Interaction

Shen Dong · Shaochen Xu · Pengfei He · Yige Li · Jiliang Tang · Tianming Liu · Hui Liu · Zhen Xiang

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging

Jinluan Yang · Dingnan Jin · Anke Tang · Li Shen · Didi Zhu · Zhengyu Chen · Ziyu Zhao · Daixin Wang · Qing Cui · Zhiqiang Zhang · Jun Zhou · Fei Wu · Kun Kuang

TRAP: Targeted Redirecting of Agentic Preferences

Hangoo Kang · Jehyeok Yeon · Gagandeep Singh

RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning

Hao Gao · Shaoyu Chen · Bo Jiang · Bencheng Liao · Yiang Shi · Xiaoyang Guo · Yuechuan Pu · haoran yin · Xiangyu Li · xinbang zhang · ying zhang · Wenyu Liu · Qian Zhang · Xinggang Wang

SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

Ziqiang Cui · Yunpeng Weng · Xing Tang · Xiaokun Zhang · Shiwei Li · Peiyang Liu · Bowei He · Dugang Liu · Weihong Luo · Xiuqiang He · Chen Ma

Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation

Chaohao Yuan · Maoji Wen · Ercan KURUOGLU · Yang Liu · Jia Li · Tingyang Xu · Deli Zhao · Hong Cheng · Yu Rong

Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind

Qingmei Li · Yang Zhang · Zurong Mai · Yuhang Chen · Loushuohong · Henglian Huang · Jiarui Zhang · Zhiwei Zhang · Yibin Wen · Weijia Li · Haohuan Fu · Huang Jianxi · Juepeng Zheng

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly

Liang Ma · Jiajun Wen · Min Lin · Rongtao Xu · Xiwen Liang · Bingqian Lin · Jun Ma · Yongxin Wang · Ziming Wei · haokun lin · Mingfei Han · Meng Cao · Bokui Chen · Ivan Laptev · Xiaodan Liang

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch

Zimu Lu · Yunqiao Yang · Houxing Ren · Haotian Hou · Han Xiao · Ke Wang · Weikang Shi · Aojun Zhou · Mingjie Zhan · Hongsheng Li

HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class

James Roggeveen · Erik Wang · David Ettel · Will Flintoft · Peter Donets · Raglan Ward · Ahmed Roman · Anton Graf · Siddharth Dandavate · Ava Williamson · Felix Yeung · Kacper Migacz · Yijun Wang · Egemen Bostan · Duy Thuc Nguyen · Zhe He · Marc Descoteaux · Anne Mykland · Shida Liu · Jorge Garcia Ponce · Luke Zhu · Yuyang Chen · Ekaterina Ivshina · Miguel Fernandez · Minjae Kim · Kennan Gumbs · Matthew Tan · Russell Yang · Mai Hoang · David Brown · Isabella Silveira · Lavon Sykes · Arjun Nageswaran · William Fredenberg · Yiming Chen · Lucas Martin · Yixing Tang · Kelly Smith · Hongyu Liao · Logan Wilson · Alexander D. Cai · Lucy Nathwani · Nickholas Gutierrez · Andrea Elizabeth Biju · Michael Brenner

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis

Tianbao Xie · Jiaqi Deng · Xiaochuan Li · Junlin Yang · Haoyuan Wu · Jixuan Chen · Wenjing Hu · Xinyuan Wang · Yuhui Xu · Zekun Wang · Yiheng Xu · Junli Wang · Doyen Sahoo · Tao Yu · Caiming Xiong

TAPAS: Datasets for Learning the Learning with Errors Problem

Eshika Saxena · Alberto Alfarano · Francois Charton · Emily Wenger · Kristin E. Lauter

Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models

Aloni Cohen

Safety Depth in Large Language Models: A Markov Chain Perspective

Ching-Chia Kao · Chia-Mu Yu · Chun-Shien Lu · Chu-Song Chen

ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models

Weifei Jin · Yuxin Cao · Junjie Su · Minhui Xue · Jie Hao · Ke Xu · Jin Song Dong · Derui Wang

Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools

Kanghua Mo · Li Hu · Yucheng Long · Zhihao Li

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment

Xiaojun Jia · Sensen Gao · Simeng Qin · Tianyu Pang · Chao Du · Yihao Huang · Xinfeng Li · Yiming Li · Bo Li · Yang Liu

Watermarking Autoregressive Image Generation

Nikola Jovanović · Ismail Labiad · Tomas Soucek · Martin Vechev · Pierre Fernandez

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap

Felipe Maia Polo · Xinhe Wang · Mikhail Yurochkin · Gongjun Xu · Moulinath Banerjee · Yuekai Sun

Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers

Yixiao Huang · Hanlin Zhu · Tianyu Guo · Jiantao Jiao · Somayeh Sojoudi · Michael Jordan · Stuart J Russell · Song Mei

Among Us: A Sandbox for Measuring and Detecting Agentic Deception

Satvik Golechha · Adrià Garriga-Alonso

CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning

Ke Niu · Zhuofan Chen · Haiyang Yu · Yuwen Chen · Teng Fu · Mengyang Zhao · Bin Li · Xiangyang Xue

ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG

Yikuan Hu · Jifeng Zhu · Lanrui Tang · Chen Huang

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction

Bin Lei · Weitai Kang · Zijian Zhang · Winson Chen · Xi Xie · Shan Zuo · Mimi Xie · Ali Payani · Mingyi Hong · Yan Yan · Caiwen Ding

Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery

Qinglong Hu · Qingfu Zhang

Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond

Feng Zhu · David Simchi-Levi

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi · Na Zhao · Qiyi Yao · Benlong Wu · Weiming Zhang · Nenghai Yu · Kejiang Chen

SensorLM: Learning the Language of Wearable Sensors

Yuwei Zhang · Kumar Ayush · Siyuan Qiao · A. Ali Heydari · Girish Narayanswamy · Max Xu · Ahmed Metwally · Jinhua Xu · Jake Garrison · Xuhai "Orson" Xu · Tim Althoff · Yun Liu · Pushmeet Kohli · Jiening Zhan · Mark Malhotra · Shwetak Patel · Cecilia Mascolo · Xin Liu · Daniel McDuff · Yuzhe Yang

BlockScan: Detecting Anomalies in Blockchain Transactions

Jiahao Yu · Xian Wu · Hao Liu · Wenbo Guo · Xinyu Xing

Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration

Wenjun Wu · Lingling Zhang · Bo Zhao · Muye Huang · QianYing Wang · Jun Liu

Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering

yuyang Hong · Jiaqi Gu · Yang Qi · Lubin Fan · Yue Wu · Ying Wang · Kun Ding · SHIMING XIANG · Jieping Ye

AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise

Dhruv Agarwal · Bodhisattwa Prasad Majumder · Reece Adamson · Megha Chakravorty · Satvika Reddy Gavireddy · Aditya Parashar · Harshit Surana · Bhavana Dalvi Mishra · Andrew McCallum · Ashish Sabharwal · Peter Clark

ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting

Ruifeng Luo · Zhengjie Liu · Tianxiao Cheng · Jie Wang · Tongjie Wang · Fei Cheng · Fu Chai · Yanpeng Li · Xingguang Wei · Haomin Wang · Shenglong Ye · Wenhai Wang · Zhang · Yu Qiao · Hongjie Zhang · Xianzhong Zhao

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Yongsen Mao · Junhao Zhong · Chuan Fang · Jia Zheng · Rui Tang · Hao Zhu · Ping Tan · Zihan Zhou

Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport

Taoran Zheng · Yan Yang · Xing Li · Xiang Gu · Jian Sun · Zongben Xu

Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations

Li Hao · He CAO · Bin Feng · Daniel Shao · Robert Tang · Zhiyuan Yan · Yonghong Tian · Li Yuan · Yu Li

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search

Mengdi Liu · Xiaoxue Cheng · Zhangyang Gao · Hong Chang · Cheng Tan · Shiguang Shan · Xilin Chen

JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation

Ameya Daigavane · Bodhi Vani · Darcy Davidson · Saeed Saremi · Joshua Rackers · Joseph Kleinhenz

Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations

Yuchao Lin · Cong Fu · Zachary Krueger · Haiyang Yu · Maho Nakata · Jianwen Xie · Emine Kucukbenli · Xiaofeng Qian · Shuiwang Ji

Decoding Causal Structure: End-to-End Mediation Pathways Inference

Yulong Li · Xiwei Liu · feilong tang · Ming Hu · Jionglong Su · Zongyuan Ge · Imran Razzak · Eran Segal

Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations

Suhas BN · Andrew Sherrill · Rosa I. Arriaga · Christopher Wiese · Saeed Abdullah

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar · Mahajabeen Madarkar · Madhumitha Venkatesh · TELI PRAKASH · Konda Reddy Mopuri · Vinaykumar MV · Kota Sathwika · Adarsh Kasturi · Gandla Raj · Padharthi Supranitha · Harsh Udai

3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks

Xiaotang Gai · Jiaxiang Liu · Yichen Li · Zijie Meng · Jian Wu · Zuozhu Liu

Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models

Mehdi Yazdani-Jahromi · Ali Khodabandeh Yalabadi · Ozlem Garibay

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

Adibvafa Fallahpour · Andrew Magnuson · Purav Gupta · Shihao Ma · Jack Naimer · Arnav Shah · Haonan Duan · Omar Ibrahim · Hani Goodarzi · Chris Maddison · Bo Wang

Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics

Kazuya Nishimura · Haruka Hirose · Ryoma Bise · Kaito Shiku · Yasuhiro Kojima

GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design

Hanqun Cao · Haosen Shi · Chenyu Wang · Sinno Pan · Pheng-Ann Heng

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation

Jiabei Cheng · Changxi Chi · Jingbo Zhou · Hongyi Xin · Jun Xia

JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model

Qihao Duan · Bingding Huang · Zhenqiao Song · Irina Lehmann · Lei Gu · Roland Eils · Benjamin Wild

MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology

Kiril Vasilev · Alexandre Misrahi · Eeshaan Jain · Phil F Cheng · Petros Liakopoulos · Olivier Michielin · Michael Moor · Charlotte Bunne

DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction

Yuxiang Li · Yang Zhang · Li · Mengxuan Chen · Meng Jin · Fang Wang · Haohuan Fu · Juepeng Zheng

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters

Wanjia Zhao · Jiaqi Han · Siyi Gu · Mingjian Jiang · James Zou · Stefano Ermon

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Jonas Elsborg · Luca Thiede · Alan Aspuru-Guzik · Tejs Vegge · Arghya Bhowmik

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

Feng Jiang · Mangal Prakash · Hehuan Ma · Jianyuan Deng · Yuzhi Guo · Maolaaisha Aminanmu · Tommaso Mansi · Rui Liao · Junzhou Huang

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection

Jigang Fan · Quanlin Wu · Shengjie Luo · Liwei Wang

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization

Honglin Li · Zhongyi Shui · Yunlong Zhang · Chenglu Zhu · Lin Yang

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference

Harry Amad · Zhaozhi Qian · Dennis Frauen · Julianna Piskorz · Stefan Feuerriegel · Mihaela van der Schaar

Learning to Zoom with Anatomical Relations for Medical Structure Detection

Bin Pu · Liwen Wang · Xingbo Dong · Xingguo Lv · ZHE JIN

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training

David Dai · Peilin Chen · Chanakya Ekbote · Paul Liang

From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs

Xiyuan Jin · Jing Wang · Ziwei Lin · QIANRU JIA · Yuqing Huang · Xiaojun Ning · Zhonghua Shi · Youfang Lin

Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search

Haoran Sun · Yankai Jiang · Wenjie Lou · Yujie Zhang · Wenjie Li · Lilong Wang · Mianxin Liu · Lei Liu · Xiaosong Wang

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction

Lipei Zhang · Rui Sun · Zhongying Deng · Yanqi Cheng · Carola-Bibiane Schönlieb · Angelica Aviles-Rivero

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Eunbyeol Cho · Jiyoun Kim · Minjae Lee · Sungjin Park · Edward Choi

Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities

Haoyu Zhao · Yihan Geng · Shange Tang · Yong Lin · Bohan Lyu · Hongzhou Lin · Chi Jin · Sanjeev Arora

XIFBench: Evaluating Large Language Models on Multilingual Instruction Following

Zhenyu Li · Kehai Chen · Yunfei Long · Xuefeng Bai · Yaoyin Zhang · Xuchen Wei · Juntao Li · Min Zhang

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal · Yanick Zengaffinen · Haruki Shirakami · Clemente Pasti · Mrinmaya Sachan · Abulhair Saparov · Ryan Cotterell · Bernhard Schölkopf

System Prompt Optimization with Meta-Learning

Yumin Choi · Jinheon Baek · Sung Ju Hwang

S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning

Hanqing Zeng · Yinglong Xia · Zhuokai Zhao · Chuan Jiang · Qiang Zhang · Jiayi Liu · Qunshu Zhang · Lizhu Zhang · Xiangjun Fan · Benyu Zhang

Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning

Tianxing Wu · Shutong Zhu · Jingting Wang · Ning Xu · Guilin Qi · Haofen Wang

Erasing Conceptual Knowledge from Language Models

Rohit Gandikota · Sheridan Feucht · Samuel Marks · David Bau

Practical and Effective Code Watermarking for Large Language Models

Zhimeng Guo · Minhao Cheng

Simulating Society Requires Simulating Thought

Chance Jiajie Li · Jiayi Wu · Zhenze MO · Ao Qu · Yuhan Tang · Kaiya Zhao · Yulu Gan · Jie Fan · Jiangbo Yu · Jinhua Zhao · Paul Liang · Luis Pastor · Kent Larson

RAST: Reasoning Activation in LLMs via Small-model Transfer

Siru Ouyang · Xinyu Zhu · Zilin Xiao · Minhao Jiang · Yu Meng · Jiawei Han

Optimizing Retrieval for RAG via Reinforced Contrastive Learning

Jiawei Zhou · Lei Chen

Objective Soups: Multilingual Multi-Task Modeling for Speech Processing

A F M Saif · Lisha Chen · Xiaodong Cui · Songtao Lu · Brian Kingsbury · Tianyi Chen

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Jiarui Yao · Yifan Hao · Hanning Zhang · Hanze Dong · Wei Xiong · Nan Jiang · Tong Zhang

K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling

Yongrui Chen · Yi Huang · Yunchang Liu · Shenyu Zhang · Junhao He · Tongtong Wu · Guilin Qi · Tianxing Wu

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation

Yaoyu Zhu · Di Huang · Hanqi Lyu · Xiaoyun Zhang · Chongxiao Li · Wenxuan Shi · Yutong Wu · Jianan Mu · Jinghua Wang · Yang zhao · Pengwei Jin · Shuyao Cheng · shengwen Liang · xishan zhang · Rui Zhang · Zidong Du · Qi Guo · Xing Hu · Yunji Chen

Mixture of Inputs: Text Generation Beyond Discrete Token Sampling

Yufan Zhuang · Liyuan Liu · Chandan Singh · Jingbo Shang · Jianfeng Gao

AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play

Ran Xu · Yuchen Zhuang · Zihan Dong · Ruiyu Wang · Yue Yu · Joyce Ho · Linjun Zhang · Haoyu Wang · Wenqi Shi · Carl Yang

Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling

Hongyi Nie · Yaqing Wang · Mingyang Zhou · Feiyang Pan · Quanming Yao · Zhen Wang

Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning

Yihong Tang · Kehai Chen · Muyun Yang · Zheng-Yu Niu · Jing Li · Tiejun Zhao · Min Zhang

Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation

Sanjana Ramprasad · Byron Wallace

Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments

Shitong Xu · Yiyuan Yang · Niki Trigoni · Andrew Markham

A Semantic Parsing Framework for End-to-End Time Normalization

Xin Su · Sungduk Yu · Phillip Howard · Steven Bethard

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Mingjie Liu · Shizhe Diao · Ximing Lu · Jian Hu · Xin Dong · Yejin Choi · Jan Kautz · Yi Dong

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models

Jiaheng Dong · Hong Jia · Soumyajit Chatterjee · Abhirup Ghosh · James Bailey · Ting Dang

Language Models can Self-Improve at State-Value Estimation for Better Search

Ethan Mendes · Alan Ritter

Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities

Jiayi Kuang · Haojing Huang · Yinghui Li · Xinnian Liang · Zhikun Xu · Yangning Li · Xiaoyu Tan · Chao Qu · Meishan Zhang · Ying Shen · Philip S Yu

REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset

Xiaojun Ning · Jing Wang · Zhiyang Feng · Tianzuo Xin · Shuo Zhang · Shaoqi Zhang · Zheng Lian · Yi Ding · Youfang Lin · Ziyu Jia

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar · Yixuan Wang · Nina Gill · Nicholas Mellon · Chang Liu · Luis Cubillos · Rio Parsons · Joseph Costello · Matteo Ceradini · Madison Kelberman · Matthew Mender · Aren Hite · Dylan Wallace · Samuel Nason-Tomaszewski · Parag Patil · Matt Willsey · Anne Draelos · Cynthia Chestek

LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale

Miran Özdogan · Gilad Landau · Gereon Elvers · Dulhan Jayalath · Pratik Somaiya · Francesco Mantegna · Mark Woolrich · Oiwi Parker Jones

Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks

Yizhou Jiang · Feng Chen · Yihan Li · Yuqian Liu · Haichuan Gao · Tianren Zhang · Ying Fang

A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals

Ziyu Jia · Tingyu Du · Zhengyu Tian · Hongkai Li · Yong Zhang · Chenyu Liu

Decomposing stimulus-specific sensory neural information via diffusion models

Steeve Laquitaine · Simone Azeglio · Carlo Paris · Ulisse Ferrari · Matthew Chalk

Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks

Kijung Yoon

Exponential Dynamic Energy Network for High Capacity Sequence Memory

Arjun Karuvally · Pichsinee Lertsaroj · Terrence Sejnowski · Hava Siegelmann

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

Yimu Zhang · Dongqi Han · Yansen Wang · Zhenning Lv · Yu Gu · Dongsheng Li

Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models

Anuja Negi · SUBBAREDDY OOTA · Anwar Nunez-Elizalde · Manish Gupta · Fatma Deniz

TESTING STATIONARITY AND CHANGE POINT DETECTION IN REINFORCEMENT LEARNING

Mengbing Li · Chengchun Shi · Zhenke Wu · Piotr Fryzlewicz

Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks

Sara Cammarota · Matteo Ferrante · Nicola Toschi

Vector Quantization in the Brain: Grid-like Codes in World Models

Xiangyuan Peng · Xingsi Dong · Si Wu

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

Jan Sobotka · Luca Baroni · Ján Antolík

Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning

Haozhe Shan · Sun Minni · Lea Duncker

REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

Yassine El Ouahidi · Jonathan Lys · Philipp Thölke · Nicolas Farrugia · Bastien Pasdeloup · Vincent Gripon · Karim Jerbi · Giulia Lioi

A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations

Kyra Kadhim · Jonas Beck · Ziwei Huang · Jakob H Macke · Fred Rieke · Thomas Euler · Michael Deistler · Philipp Berens

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

Valentin Schmutz · Ali Haydaroğlu · Shuqi Wang · Yixiao Feng · Matteo Carandini · Kenneth D Harris

Forecasting in Offline Reinforcement Learning for Non-stationary Environments

Suzan Ece Ada · Georg Martius · Emre Ugur · Erhan Oztop

A Provable Approach for End-to-End Safe Reinforcement Learning

Akifumi Wachi · Kohei Miyaguchi · Takumi Tanabe · Rei Sato · Youhei Akimoto

Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning

Tianpai Luo · Xinyuan Fan · Weichi Wu

Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning

Wei Huang · Jianshu Zhang · Leiyu Wang · Heyue Li · Luoyi Fan · Yichen Zhu · Nanyang Ye · Qinying Gu

Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models

Nicolas Le Roux · Marc Bellemare · Jonathan Lebensold · Arnaud Bergeron · Joshua Greaves · Alexandre Fréchette · Carolyne Pelletier · Eric Thibodeau-Laufer · Sándor Tóth · Sam Work

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning

Huikang Su · Dengyun Peng · Zifeng Zhuang · Yuhan Liu · Qiguang Chen · Donglin Wang · Qinghe Liu

LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification

Zhiqi Pang · Lingling Zhao · Junjie Wang · Chunyu Wang

On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization

wenlong deng · Yi Ren · Muchen Li · Danica J. Sutherland · Xiaoxiao Li · Christos Thrampoulidis

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Siyan Zhao · Devaansh Gupta · Qinqing Zheng · Aditya Grover

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations

Panqi Chen · Yifan Sun · Lei Cheng · YANG YANG · Weichang Li · Yang Liu · Weiqing Liu · Jiang Bian · Shikai Fang

ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

Armand Kassaï Koupaï · Lise Le Boudec · Louis Serrano · Patrick Gallinari

Transformers for Mixed-type Event Sequences

Felix Draxler · Yang Meng · Kai Nelson · Lukas Laskowski · Yibo Yang · Theofanis Karaletsos · Stephan Mandt

MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform

Yuan Chiang · Tobias Kreiman · Christine Zhang · Matthew Kuner · Elizabeth Weaver · Ishan Amin · Hyunsoo Park · Yunsung Lim · Jihan Kim · Daryl Chrzan · Aron Walsh · Samuel Blau · Mark Asta · Aditi Krishnapriyan

PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Ana Rivera Him · Anvita Bhagavathula · Alvaro Carbonero · Priya Donti

TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising

Jessica Fry · Xinyi Fu · Zhenghao Fu · Kaliroë Pappas · Lindley Winslow · Aobo Li

Bubbleformer: Forecasting Boiling with Transformers

Sheikh Md Shakeel Hassan · Xianwei Zou · Akash Dhruv · Aparna Chandramowlishwaran

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

Vinam Arora · Divyansha Lachi · Ian Knight · Mehdi Azabou · Blake Richards · Cole Hurwitz · Joshua H Siegle · Eva L Dyer

From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit

Sunny Duan · Ling L. Dong · Ila Fiete

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Po-Chen Kuo · Han Hou · Will Dabney · Edgar Walker

How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning

Max Weltevrede · Moritz Zanger · Matthijs Spaan · Wendelin Boehmer

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang · Jiani Zhong · Zongsheng Li · Xinke Shen · Quanying Liu

DeepHalo: A Neural Choice Model with Controllable Context Effects

Shuhan Zhang · Zhi Wang · Rui Gao · Shuang Li

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos · Ioannis Asmanis · Konrad Kording · Eva L Dyer · Kostas Daniilidis · Flavia Vitale

Concept-Guided Interpretability via Neural Chunking

Shuchen Wu · Stephan Alaniz · Shyamgopal Karthik · Peter Dayan · Eric Schulz · Zeynep Akata

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain

Trinity Chung · Yuchen Shen · Nathan Kong · Aran Nayebi

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

YUXIANG WEI · Yanteng Zhang · Xi Xiao · Tianyang Wang · Xiao Wang · Vince D. Calhoun

Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains

Wenhui Tan · Jiaze Li · Jianzhong Ju · Zhenbo Luo · Ruihua Song · Jian Luan

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

Daniel Palenicek · Florian Vogt · Joe Watson · Jan Peters

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning

Jiashun Liu · Zihao Wu · Johan Obando Ceron · Pablo Samuel Castro · Aaron Courville · Ling Pan

Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments

Jiahui Wang · Chao Chen · Jiacheng Xu · Zongzhang Zhang · Yang Yu

Open-World Drone Active Tracking with Goal-Centered Rewards

Haowei Sun · Jinwu Hu · Zhirui Zhang · Haoyuan Tian · Xinze Xie · Yufeng Wang · Xiaohua Xie · Yun Lin · Zhuliang Yu · Mingkui Tan

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker · Francois Lanusse · Jeff Shen · Ollie Liu · Tom Hehir · Leopoldo Sarra · Lucas Meyer · Micah Bowles · Sebastian Wagner-Carena · Helen Qu · Siavash Golkar · Alberto Bietti · Hatim Bourfoune · Pierre Cornette · Keiya Hirashima · Geraud Krawezik · Ruben Ohana · Nicholas Lourie · Michael McCabe · Rudy Morel · Payel Mukhopadhyay · Mariel Pettee · Kyunghyun Cho · Miles Cranmer · Shirley Ho

Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy

David Dang · Myoung-Gyun Suh · Maodong Gao · ByoungJun Park · Beyonce Hu · Yucheng Jin · Wilton Kort-Kamp · Ho Lee

Learning Stochastic Multiscale Models

Andrew F. Ilersich · Prasanth Nair

Inductive Domain Transfer In Misspecified Simulation-Based Inference

Ortal Senouf · Antoine Wehenkel · Cédric Vincent-Cuaz · Emmanuel Abbe · Pascal Frossard

Guided Diffusion Sampling on Function Spaces with Applications to PDEs

Jiachen Yao · Abbas Mammadov · Julius Berner · Gavin Kerrigan · Jong Chul Ye · Kamyar Azizzadenesheli · Animashree Anandkumar

Neural Green’s Functions

Seungwoo Yoo · Kyeongmin Yeo · Jisung Hwang · Minhyuk Sung

ChatbotID: Identifying Chatbots with Granger Causality Test

Xiaoquan Yi · Haozhao Wang · Yining Qi · Wenchao Xu · Rui Zhang · Yuhua Li · Ruixuan Li

HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving

Zhiwen Chen · Hanming Deng · Zhuoren Li · Huanxi Wen · Guizhe Jin · Ran Yu · Bo Leng

Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy

Sreevardhan Sirigiri · Christian Hughes · Ian Abraham · Fabio Ramos

Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames

Ev Zisselman · Mirco Mutti · Shelly Francis-Meretzki · Elisei Shafer · Aviv Tamar

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Tonghe Zhang · Chao Yu · Sichang Su · Yu Wang

Convergent Functions, Divergent Forms

Hyeonseong Jeon · Ainaz Eftekhar · Aaron Walsman · Kuo-Hao Zeng · Ali Farhadi · Ranjay Krishna

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution

Zhanyi Sun · Shuran Song

VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models

Chongkai Gao · Zixuan Liu · Zhenghao Chi · Junshan Huang · Xin Fei · Yiwen Hou · Yuxuan Zhang · Yudi Lin · Zhirui Fang · Lin Shao

UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning

Nan Song · Junzhe Jiang · jingyu li · Xiatian Zhu · Li Zhang

VideoVLA: Video Generators Can Be Generalizable Robot Manipulators

Yichao Shen · Fangyun Wei · Zhiying Du · Yaobo Liang · Yan Lu · Jiaolong Yang · Nanning Zheng · Baining Guo

Text-to-Code Generation for Modular Building Layouts in Building Information Modeling

YINYI WEI · Xiao LI

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma · Gonghu Shang · Zhi Chen · Libo Qin · Yijie LUO · Hongshen Xu · Lei Pan · Shuai Fan · Kai Yu · Lu Chen

BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems

Andy Zhang · Joey Ji · Celeste Menders · Riya Dulepet · Thomas Qin · Ron Wang · Junrong Wu · Kyleen Liao · Jiliang Li · Jinghan Hu · Sara Hong · Nardos Demilew · Shivatmica Murgai · Jason Tran · Nishka Kacheria · Ethan Ho · Denis Liu · Lauren McLane · Olivia Bruvik · Dai-Rong Han · Seungwoo Kim · Akhil Vyas · Cuiyuanxiu Chen · Ryan Li · Weiran Xu · Jonathan Ye · Prerit Choudhary · Siddharth M. Bhatia · Vikram Sivashankar · Yuxuan Bao · Dawn Song · Dan Boneh · Daniel Ho · Percy Liang

MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study

Yuqing Zhang · Yue Han · Shuanghe Zhu · Haoxiang Wu · Hangqi Li · Shengyu Zhang · Junchi Yan · Zemin Liu · Kun Kuang · Huaiyong Dou · Yongquan Zhang · Fei Wu

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms

Zhihai Wang · Zijie Geng · Zhaojie Tu · Jie Wang · Yuxi Qian · Zhexuan Xu · Ziyan Liu · Siyuan Xu · Zhentao Tang · Shixiong Kai · Mingxuan Yuan · Jianye Hao · Bin Li · Feng Wu

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

Hui Chen · Miao Xiong · Yujie Lu · Wei Han · Ailin Deng · Yufei He · Jiaying Wu · Yibo Li · Yue Liu · Bryan Hooi

Towards Accurate Time Series Forecasting via Implicit Decoding

Xinyu Li · Yuchen Luo · Hao Wang · Haoxuan Li · Liuhua Peng · Feng Liu · Yandong Guo · Kun Zhang · Mingming Gong

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

Yushan Jiang · Wenchao Yu · Geon Lee · Dongjin Song · Kijung Shin · Wei Cheng · Yanchi Liu · Haifeng Chen

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

Kanghui Ning · Zijie Pan · Yu Liu · Yushan Jiang · James Zhang · Kashif Rasul · Anderson Schneider · Lintao Ma · Yuriy Nevmyvaka · Dongjin Song

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting

ChengAo Shen · Wenchao Yu · Ziming Zhao · Dongjin Song · Wei Cheng · Haifeng Chen · Jingchao Ni

PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection

Long Li · Wanghu Chen · Wencheng Zhang · Shi Yuan · Hongle Guo

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection

Dennis Wagner · Fabian Hartung · Justus Arweiler · Aparna Muraleedharan · Indra Jungjohann · Arjun Nair · Steffen Reithermann · Ralf Schulz · Michael Bortz · Daniel Neider · Heike Leitte · Joachim Pfeffinger · Stephan Mandt · Sophie Fellenz · Torsten Katz · Fabian Jirasek · Jakob Burger · Hans Hasse · Marius Kloft

RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks

Mingxuan Yan · Yuping Wang · Zechun Liu · Jiachen Li

Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy

Inkook Chun · Seungjae Lee · Michael Albergo · Saining Xie · Eric Vanden-Eijnden

Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges

Tao Zhong · Jonah Buchanan · Christine Allen-Blanchette

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning

Wenkai Yang · Shuming Ma · Yankai Lin · Furu Wei

OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation

Raktim Goswami · Prashanth Krishnamurthy · Yann LeCun · Farshad Khorrami

Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation

Badi Li · Ren-Jie Lu · Yu Zhou · Jingke Meng · Wei-Shi Zheng

PurpCode: Reasoning for Safer Code Generation

Jiawei Liu · Nirav Diwan · Zhe Wang · Haoyu Zhai · Xiaona Zhou · Kiet Nguyen · Tianjiao Yu · Muntasir Wahed · Yinlin Deng · Hadjer Benkraouda · Yuxiang Wei · LINGMING ZHANG · Ismini Lourentzou · Gang Wang

NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning

Wonje Choi · Jooyoung Kim · Honguk Woo

ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture

Yuan Yao · Shifan Jiang · Yangqing Hou · Chengxu Zuo · Xinrui Chen · Shihui Guo · Yipeng Qin

RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards

jingnan zheng · Xiangtian Ji · Yijun Lu · Chenhang Cui · Weixiang Zhao · Gelei Deng · Zhenkai Liang · An Zhang · Tat-Seng Chua

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation

Yanwei Ren · Haotian Zhang · Fuxiang Wu · Jiayan Qiu · Jiaxing Huang · Baosheng Yu · Liu Liu

Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

Yuhao Yang · ZhI JI · Zhaopeng Li · Yi Li · Zhonglin Mo · Yue Ding · Kai Chen · Zijian Zhang · Jie Li · shuanglong li · LIU LIN

Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings

Houssam Zenati · Bariscan Bozkurt · Arthur Gretton

Differentiable Constraint-Based Causal Discovery

Jincheng Zhou · Mengbo Wang · Anqi He · Yumeng Zhou · Hessam Olya · Murat Kocaoglu · Bruno Ribeiro

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders

Muralikrishnna Guruswamy Sethuraman · Faramarz Fekri

Pattern-Guided Adaptive Prior for Structure Learning

Lyuzhou Chen · Yijia Sun · Yanze Gao · Xiangyu Wang · Derui Lyu · Taiyu Ban · Xin Wang · Xiren Zhou · Huanhuan Chen

Reward-oriented Causal Representation Learning

Zirui Yan · Emre Acartürk · Ali Tajer

Practical Kernel Selection for Kernel-based Conditional Independence Test

Wenjie Wang · Mingming Gong · Biwei Huang · James Bailey · Bo Han · Kun Zhang · Feng Liu

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

Vahid Balazadeh · Hamidreza Kamkari · Valentin Thomas · Junwei Ma · Bingru Li · Jesse Cresswell · Rahul Krishnan

Density Ratio-Free Doubly Robust Proxy Causal Learning

Bariscan Bozkurt · Houssam Zenati · Dimitri Meunier · Liyuan Xu · Arthur Gretton

Data-Adaptive Exposure Thresholds under Network Interference

Vydhourie Thiyageswaran · Tyler H. McCormick · Jennifer Brennan

Causal Mixture Models: Characterization and Discovery

Sarah Mameche · Janis Kalofolias · Jilles Vreeken

Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables

Zheng Li · Xichen Guo · Feng Xie · Yan Zeng · Hao Zhang · Zhi Geng

The third pillar of causal analysis? A measurement perspective on causal representations

Dingling Yao · Shimeng Huang · Riccardo Cadei · Kun Zhang · Francesco Locatello

Angular Constraint Embedding via SpherePair Loss for Constrained Clustering

Shaojie Zhang · Ke Chen

Global Minimizers of Sigmoid Contrastive Loss

Kiril Bangachev · Guy Bresler · Iliyas Noman · Yury Polyanskiy

FoGE: Fock Space inspired encoding for graph prompting

Takis Chytas · Rudrasis Chakraborty · Vikas Singh

$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

Simone Ricci · Niccolò Biondi · Federico Pernici · Ioannis Patras · Alberto Del Bimbo

Autoencoding Random Forests

Binh Vu · Jan Kapar · Marvin Wright · David Watson

NeurIPT: Foundation Model for Neural Interfaces

Zitao Fang · Chenxuan Li · Hongting Zhou · Shuyang Yu · Guodong DU · Ashwaq Qasem · Yang Lu · Jing Li · Junsong Zhang · Sim Kuan Goh

The Indra Representation Hypothesis

Jianglin Lu · Hailing Wang · Kuo Yang · Yitian Zhang · Simon Jenni · Yun Fu

Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

Yiming Wang · Qun Li · Dongxia Chang · Jie Wen · Hua Dai · Fu Xiao · Yao Zhao

HEIR: Learning Graph-Based Motion Hierarchies

Cheng Zheng · William Koch · Baiang Li · Felix Heide

VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition

Rahul Moorthy Mahesh · Jun-Jee Chao · Volkan Isler

Feature-aware Modulation for Learning from Temporal Tabular Data

Haorun Cai · Han-Jia Ye

Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders

Samuel V. Singh · Shirley Coyle · Mimi Zhang

GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification

Qiao Li · Jie Li · Yukang Zhang · Lei Tan · Jing Chen · Jiayi Ji

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery

Dominik Meier · Sujai Hiremath · PROMIT GHOSAL · Kyra Gan

Differentiable Structure Learning and Causal Discovery for General Binary Data

Chang Deng · Bryon Aragam

Less Greedy Equivalence Search

Adiba Ejaz · Elias Bareinboim

Coupling Generative Modeling and an Autoencoder with the Causal Bridge

Ruolin Meng · Ming-Yu Chung · Dhanajit Brahma · Ricardo Henao · Lawrence Carin

A Unified Framework for the Transportability of Population-Level Causal Measures

Ahmed Boughdiri · Clément Berenfeld · Julie Josse · Erwan Scornet

Revising and Falsifying Sparse Autoencoder Feature Explanations

George Ma · Samuel Pfrommer · Somayeh Sojoudi

Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection

Yuyang Yu · Zhengwei Chen · Xuemiao Xu · Lei Zhang · Haoxin Yang · Yongwei Nie · Shengfeng He

Stochastic Forward-Forward Learning through Representational Dimensionality Compression

Zhichao Zhu · YANG QI · Hengyuan Ma · Wenlian Lu · Jianfeng Feng

OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding

Ramchalam Kinattinkara Ramakrishnan · Zhaocong Yuan · Jay Zhuo · Chen Feng · Yicheng Lin · Chenzheng Su · Xiaopeng Zhang

Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions

Liuyuan Jiang · Quan Xiao · Lisha Chen · Tianyi Chen

CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination

Yuena Lin · Hao Wei · Hai-Chun Cai · Bohang Sun · Tao Yang · Zhen Yang · Gengyu Lyu

Class-wise Balancing Data Replay for Federated Class-Incremental Learning

Zhuang Qi · Ying-Peng Tang · Lei Meng · Han Yu · Xiaoxiao Li · Xiangxu Meng

Measure-Theoretic Anti-Causal Representation Learning

Arman Behnam · Binghui Wang

Harnessing the Universal Geometry of Embeddings

Rishi Jha · Collin Zhang · Vitaly Shmatikov · John Morris

Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions

Tobias Schmidt · Steffen Schneider · Matthias Bethge

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective

Beatrix Nielsen · Emanuele Marconato · Andrea Dittadi · Luigi Gresele

Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models

Yasha Ektefaie · Andrew Shen · Lavik Jain · Maha Farhat · Marinka Zitnik

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

Sean Lamont · Christian Walder · Amir Dezfouli · Paul Montague · Michael Norrish

CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning

Yifei Zhang · Hao Zhu · Junhao Dong · Haoran Shi · Ziqiao Meng · Piotr Koniusz · Han Yu

Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations

Chaofan Gan · Yuanpeng Tu · Xi Chen · Tieyuan Chen · Yuxi Li · Mehrtash Harandi · Weiyao Lin

Disentangling Latent Shifts of In-Context Learning with Weak Supervision

Josip Jukić · Jan Šnajder

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks

Raphael Romero · Tijl De Bie · Nick Heard · Alexander Modell

LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering

Qianqian Wang · Qianqian Wang

An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph

Tam Le · Truyen Nguyen · Hideitsu Hino · Kenji Fukumizu

Optimal Online Change Detection via Random Fourier Features

Florian Kalinke · Shakeel Gavioli-Akilagun

A learnability analysis on neuro-symbolic learning

Hao-Yuan He · Ming LI

Differentiable Decision Tree via "ReLU+Argmin" Reformulation

Qiangqiang Mao · Jiayang Ren · Yixiu Wang · Chenxuanyin Zou · Jingjing Zheng · Yankai Cao

Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning

Ruilin Tong · Haodong Lu · Yuhang Liu · Dong Gong

Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning

Kai Jiang · Zhengyan Shi · Dell Zhang · Hongyuan Zhang · Xuelong Li

UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition

guojun lei · Rong Zhang · Tianhang Liu · Hong Li · Zhiyuan Ma · Chi Wang · Weiwei Xu

Parameter Efficient Fine-tuning via Explained Variance Adaptation

Fabian Paischer · Lukas Hauzenberger · Thomas Schmied · Benedikt Alkin · Marc Deisenroth · Sepp Hochreiter

RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion

Yuwu Lu · Chunzhi Liu

Diversity-oriented Deep Multi-modal Clustering

Wang Yanzheng · Xin Yang · Yujun Wang · Shizhe Hu · Mingliang Xu

DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning

Qi Cao · Ruiyi Wang · Ruiyi Zhang · Sai Ashish Somayajula · Pengtao Xie

Compact Memory for Continual Logistic Regression

Yohan Jung · Hyungi Lee · Wenlong Chen · Thomas Möllenhoff · Yingzhen Li · Juho Lee · Mohammad Emtiyaz Khan

SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery

Zhenqi He · Yuanpei Liu · Kai Han

Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning

Hua Ye · Siyuan Chen · Haoliang Zhang · Weihao Luo · Yanbin Li · Xuan Zhang

MergeBench: A Benchmark for Merging Domain-Specialized LLMs

Yifei He · Siqi Zeng · Yuzheng Hu · Rui Yang · Tong Zhang · Han Zhao

PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation

Chong Tang · Joseph Powell · Dirk Koch · Robert Mullins · Alex Weddell · Jagmohan Chauhan

Bandit Guided Submodular Curriculum for Adaptive Subset Selection

Prateek Chanda · Prayas Agrawal · Saral Sureka · Lokesh Reddy Polu · Atharv Kshirsagar · Ganesh Ramakrishnan

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

Yuxuan Song · Zhe Zhang · Yu Pei · Jingjing Gong · Qiying Yu · Zheng Zhang · Mingxuan Wang · Hao Zhou · Jingjing Liu · Wei-Ying Ma

Learning Robust Spectral Dynamics for Temporal Domain Generalization

En Yu · Jie Lu · Xiaoyu Yang · Guangquan Zhang · Zhen Fang

Inference-Time Personalized Alignment with a Few User Preference Queries

Victor-Alexandru Pădurean · Parameswaran Kamalaruban · Nachiket Kotalwar · Alkis Gotovos · Adish Singla

Prediction-Powered Semi-Supervised Learning with Online Power Tuning

Noa Shoham · Ron Dorfman · Shalev Shaer · Kfir Y. Levy · Yaniv Romano

A Single-Swap Local Search Algorithm for k-Means of Lines

Ting Liang · Xiaoliang Wu · Junyu Huang · Jianxin Wang · Qilong Feng

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

Duong Nguyen · Nghia Hoang · Thanh Trung Huynh · Quoc Viet Hung Nguyen · Phi Le Nguyen

Universal Sequence Preconditioning

Annie Marsden · Elad Hazan

A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity

Kuat Gazizov · Miguel A. Carreira-Perpinan

Learning to Clean: Reinforcement Learning for Noisy Label Correction

Marzi Heidari · Hanping Zhang · Yuhong Guo

Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres

Walid Durani · Collin Leiber · Khalid Durani · Claudia Plant · Christian Böhm

Conformal Information Pursuit for Interactively Guiding Large Language Models

Kwan Ho Ryan Chan · Yuyan Ge · Edgar Dobriban · Hamed Hassani · Rene Vidal

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Sebastian Bruch · Aditya Krishnan · Franco Maria Nardini

Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization

Hao Zheng · Jingjun Yi · Qi Bi · Huimin Huang · Haolan Zhan · Yawen Huang · Yuexiang Li · Xian Wu · Yefeng Zheng

Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

Siyu Chen · Ting Han · Chengzheng Fu · Changshe Zhang · Chaolei Wang · Jinhe Su · Guorong Cai · Meiliu Wu

Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry

Masanari Kimura

The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models

Alex Damian · Jason Lee · Joan Bruna

Dimension-free Score Matching and Time Bootstrapping for Diffusion Models

Syamantak Kumar · Dheeraj Nagaraj · Purnamrita Sarkar

Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound

Shinsaku Sakaue · Taira Tsuchiya · Han Bao · Taihei Oki

Geometric Learning with Positively Decomposable Kernels

Nathael Da Costa · Cyrus Mostajeran · Juan-Pablo Ortega · Salem Said

From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models

Weitong Zhang · Chengqi Zang · Bernhard Kainz

On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness

Arnav Mehra · Alexandros Psomas

Strategic Cost Selection in Participatory Budgeting

Piotr Faliszewski · Łukasz Janeczko · Andrzej Kaczmarczyk · Grzegorz Lisowski · Piotr Skowron · Stanisław Szufa · Mateusz Szwagierczak

Stochastically Dominant Peer Prediction

Yichi Zhang · Shengwei Xu · Grant Schoenebeck · David Pennock

Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms

Alistair Benford · Per Kristian Lehre

Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis

Sihan Zeng · Benjamin Patrick Evans · Sujay Bhatt · Leo Ardon · Sumitra Ganesh · Alec Koppel

The Complexity of Correlated Equilibria in Generalized Games

Martino Bernasconi · Matteo Castiglioni · Andrea Celli · Gabriele Farina

Markov Persuasion Processes: Learning to Persuade From Scratch

Francesco Bacchiocchi · Francesco Emanuele Stradi · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti

Efficient Last-Iterate Convergence in Solving Extensive-Form Games

Linjian Meng · Tianpei Yang · Youzhi Zhang · Zhenxing Ge · Shangdong Yang · Tianyu Ding · Wenbin Li · Bo An · Yang Gao

Stable Matching with Ties: Approximation Ratios and Learning

Shiyun Lin · Simon Mauras · Nadav Merlis · Vianney Perchet

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption

Longxiang He · Deheng Ye · Junbo Tan · Xueqian Wang · Li Shen

The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model

Kaito Takanami · Takashi Takahashi · Ayaka Sakata

Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models

Konstantinos Dafnis · Dimitris Metaxas

Imagined Autocurricula

Ahmet Hamdi Güzel · Matthew T Jackson · Jarek Liesen · Tim Rocktäschel · Jakob Foerster · Ilija Bogunovic · Jack Parker-Holder

On Union-Closedness of Language Generation

Steve Hanneke · Amin Karbasi · Anay Mehrotra · Grigoris Velegkas

Oracle-Efficient Combinatorial Semi-Bandits

Jung-hun Kim · Milan Vojnovic · Min-hwan Oh

Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification

Yuanfan Li · Yunwen Lei · Zheng-Chu Guo · Yiming Ying

Contextual Dynamic Pricing with Heterogeneous Buyers

Thodoris Lykouris · Sloan Nietert · Princewill Okoroafor · Chara Podimata · Julian Zimmert

On the Optimality of the Median-of-Means Estimator under Adversarial Contamination

Xabier de Juan · Santiago Mazuelas

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks

Xuan Tang · Han Zhang · Yuan Cao · Difan Zou

A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression

Giuseppe Castiglione · Christopher L Buckley · Ivor Simpson

Low Precision Streaming PCA

Sanjoy Dasgupta · Syamantak Kumar · Shourya Pandey · Purnamrita Sarkar

Stochastic Gradients under Nuisances

Facheng Yu · Ronak Mehta · Alex Luedtke · Zaid Harchaoui

On Transferring Transferability: Towards a Theory for Size Generalization

Eitan Levin · Yuxin Ma · Mateo Diaz · Soledad Villar

Value Improved Actor Critic Algorithms

Yaniv Oren · Moritz Zanger · Pascal van der Vaart · Mustafa Mert Çelikok · Wendelin Boehmer · Matthijs Spaan

Parameter-free Algorithms for the Stochastically Extended Adversarial Model

Shuche Wang · Adarsh Barik · Peng Zhao · Vincent Tan

On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls

Emmeran Johnson · David Martinez-Rubio · Ciara Pike-Burke · Patrick Rebeschini

Multimodal Negative Learning

Baoquan Gong · Xiyuan Gao · Pengfei Zhu · Qinghua Hu · Bing Cao

Valid Selection among Conformal Sets

Mahmoud Hegazy · Liviu Aolaritei · Michael Jordan · Aymeric Dieuleveut

Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity

Hugo Ninou · Jonathan Kadmon · N Alex Cayco Gajic

Replicable Online Learning

Saba Ahmadi · Siddharth Bhandari · Avrim Blum

Computational Efficiency under Covariate Shift in Kernel Ridge Regression

Andrea Della Vecchia · Arnaud Mavakala Watusadisi · Ernesto De Vito · Lorenzo Rosasco

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

Ezgi Korkmaz

Reinforced Context Order Recovery for Adaptive Reasoning and Planning

Long Ma · Fangwei Zhong · Yizhou Wang

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning

Hongjoon Ahn · Heewoong Choi · Jisu Han · Taesup Moon

Real-DRL: Teach and Learn in Reality

Yanbing Mao · Yihao Cai · Lui Sha

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards

Xiaoyuan Liu · Tian Liang · Zhiwei He · Jiahao Xu · Wenxuan Wang · Pinjia He · Zhaopeng Tu · Haitao Mi · Dong Yu

Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety

Siyuan Xu · Minghui Zhu

Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering

Liang Zhang · Justin Lieffers · Adarsh Pyarelal

Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning

Nicolas Castanet · Olivier Sigaud · Sylvain Lamprier

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning

Roger Creus Castanyer · Johan Obando Ceron · Lu Li · Pierre-Luc Bacon · Glen Berseth · Aaron Courville · Pablo Samuel Castro

Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent

Tong Yang · Yu Huang · Yingbin Liang · Yuejie Chi

Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function

Maria-Florina Balcan · Anh Nguyen · Dravyansh Sharma

Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data

Qijia He · Minghan Wang · Xutong Liu · Zhiyong Wang · Fang Kong

Robustly Learning Monotone Single-Index Models

Puqian Wang · Nikos Zarifis · Ilias Diakonikolas · Jelena Diakonikolas

Probably Approximately Precision and Recall Learning

Lee Cohen · Yishay Mansour · Shay Moran · Han Shao

Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models

Ilias Diakonikolas · Giannis Iakovidis · Daniel Kane · Lisheng Ren

Sharp Gaussian approximations for Decentralized Federated Learning

SOHAM BONNERJEE · Sayar Karmakar · Wei Biao Wu

Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent

Ziyang Wei · Jiaqi Li · Zhipeng Lou · Wei Biao Wu

Optimal Spectral Transitions in High-Dimensional Multi-Index Models

Leonardo Defilippis · Yatin Dandi · Pierre Mergny · Florent Krzakala · Bruno Loureiro

Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits

Yuzhou Gu · Yanjun Han · Jian Qian

Generating Creative Chess Puzzles

Xidong Feng · Vivek Veeriah · Marcus Chiam · Michael Dennis · Federico Barbero · Johan Obando Ceron · Jiaxin Shi · Satinder Singh · Shaobo Hou · Nenad Tomasev · Tom Zahavy

Adversarial generalization of unfolding (model-based) networks

Vicky Kouni

GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining

Chunyu Wei · Wenji Hu · Xingjia Hao · Xin Wang · Yifan Yang · Yunhai Wang · Yang Tian · Yueguo Chen

Sequential Multi-Agent Dynamic Algorithm Configuration

Chen Lu · Ke Xue · Lei Yuan · Yao Wang · Yaoyuan Wang · Sheng Fu · Chao Qian

Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments

Riley Simmons-Edler · Ryan Badman · Felix Berg · Raymond Chua · John Vastola · Joshua Lunger · William Qian · Kanaka Rajan

Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models

Wen-Tse Chen · Jiayu Chen · Fahim Tajwar · Hao Zhu · Xintong Duan · Ruslan Salakhutdinov · Jeff Schneider

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning

Haozhe Ma · Zhengding Luo · Thanh Vinh Vo · Kuankuan Sima · Tze-Yun Leong

Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions

Guoji Fu · Wee Sun Lee

Replicable Distribution Testing

Ilias Diakonikolas · Jingyi Gao · Daniel Kane · Sihan Liu · Christopher Ye

Quantitative convergence of trained neural networks to Gaussian processes

Andrea Agazzi · Eloy Mosig García · Dario Trevisan

Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models

Gen Li · Changxiao Cai

Data-Dependent Regret Bounds for Constrained MABs

Gianmarco Genalti · Francesco Emanuele Stradi · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti

Online Statistical Inference in Decision Making with Matrix Context

Qiyu Han · Will Wei Sun · Yichen Zhang

A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging

Sajad Khodadadian · Martin Zubeldia

Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback

Shinji Ito · Kevin Jamieson · Haipeng Luo · Arnab Maiti · Taira Tsuchiya

Protocols for Verifying Smooth Strategies in Bandits and Games

Miranda Christ · Daniel Reichman · Jonathan Shafer

Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning

Amir Rezaei Balef · Claire Vernade · Katharina Eggensperger

Diffusion Models Meet Contextual Bandits

Imad Aouali

PLEIADES: Building Temporal Kernels with Orthogonal Polynomials

Yan Ru Pei · Olivier Coenen

BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification

Xiaobin Liu · Jianing Li · Baiwei Guo · WenbinZhu · Jing Yuan

Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models

Haidong Kang · Lihong Lin · Hanling Wang

pLSTM: parallelizable Linear Source Transition Mark networks

Korbinian Pöppel · Richard Freinschlag · Thomas Schmied · Wei Lin · Sepp Hochreiter

Sampled Estimators For Softmax Must Be Biased

Li-Chung Lin · Yaxu Liu · Chih-Jen Lin

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective

Behrad Moniri · Hamed Hassani

The Complexity of Finding Local Optima in Contrastive Learning

Jingming Yan · Yiyuan Luo · Vaggos Chatziafratis · Ioannis Panageas · Parnian Shahkar · Stelios Stavroulakis

On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study

Riccardo Alberghi · Elizaveta Demyanenko · Luca Biggio · Luca Saglietti

Adaptive Data Analysis for Growing Data

Neil Marchant · Benjamin Rubinstein

Optimal Estimation of the Best Mean in Multi-Armed Bandits

Takayuki Osogami · Junya Honda · Junpei Komiyama

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means

Anna van Elst · Igor Colin · Stephan Clémençon

Tight Bounds for Answering Adaptively Chosen Concentrated Queries

Emma Rapoport · Edith Cohen · Uri Stemmer

A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Xiaoli Tang · Han Yu · Xiaoxiao Li

A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits

Guo Zeng · Jean Honorio

A Differential and Pointwise Control Approach to Reinforcement Learning

Minh Nguyen · Chandrajit Bajaj

Faster Fixed-Point Methods for Multichain MDPs

Matthew Zurek · Yudong Chen

Non-Stationary Lipschitz Bandits

Nicolas Nguyen · Solenne Gaucher · Claire Vernade

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts

James Chapman · Kedar Karhadkar · Guido Montufar

Balancing Performance and Costs in Best Arm Identification

Michael Harding · Kirthevasan Kandasamy

Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models

Tyler Chang · Benjamin Bergen

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners

Reiss Koh · Wonbeen Oh · Jaein Jang · MinHyung Lee · Hyeongjin Kim · Ah Kim · Joonkee Kim · Junghyun Lee · Taehyeon Kim · Se-Young Yun

Knowledge Distillation of Uncertainty using Deep Latent Factor Model

Sehyun Park · Jongjin Lee · Yunseop Shin · Ilsang Ohn · Yongdai Kim

SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path

Yichen Zhu · Weiyu Chen · James Kwok · Zhou Zhao

Memory Mosaics at scale

Jianyu Zhang · Leon Bottou

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs

Di He · Songjun Tu · Ajay Jaiswal · Li Shen · Ganzhao Yuan · Shiwei Liu · Lu Yin

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression

Kunjun Li · Zigeng Chen · Cheng-Yen Yang · Jenq-Neng Hwang

Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected

Yingtao Zhang · Diego Cerretti · Jialin Zhao · Wenjing Wu · Ziheng Liao · Umberto Michieli · Carlo Vittorio Cannistraci

A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

Daniel Tschernutter · David Diego Castro · Maciej Kasiński

Activation-Informed Merging of Large Language Models

Amin Heyrani Nobari · Kaveh Alimohammadi · Ali ArjomandBigdeli · Akash Srivastava · Faez Ahmed · Navid Azizan

Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster

Shriram M S · Xinyue Hao · Shihao Hou · Yang Lu · Laura Sevilla-Lara · Anurag Arnab · Shreyank Gowda

Elastic Robust Unlearning of Specific Knowledge in Large Language Models

Yize Sui · Jing Ren · Wenjing Yang · Ruochun Jin · Liyang Xu · Xiyao Liu · J Wang

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection

Tianyu Hu · Zhen Tan · Song Wang · Huaizhi Qu · Tianlong Chen

Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads

Zhoutong Wu · Yuan Zhang · Yiming Dong · Chenheng Zhang · Cong Fang · Kun Yuan · Zhouchen Lin

RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling

Xiuying Wei · Anunay Yadav · Razvan Pascanu · Caglar Gulcehre

Tensor-Parallelism with Partially Synchronized Activations

Itay Lamprecht · Asaf Karnieli · Yair Hanani · Niv Giladi · Daniel Soudry

Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings

Erel Naor · Ofir Lindenbaum

TANDEM: Bi-Level Data Mixture Optimization with Twin Networks

Jiaxing Wang · Deping Xiang · Jin Xu · Mingyang Yi · Guoqiang Gong · Zicheng Zhang · Haoran Li · Pengzhang Liu · Zhen Chen · Ke Zhang · Ju Fan · Qixia Jiang

Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training

Reza Shirkavand · Peiran Yu · Qi He · Heng Huang

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

Xiner Li · Yulai Zhao · Chenyu Wang · Gabriele Scalia · Gokcen Eraslan · Surag Nair · Tommaso Biancalani · Shuiwang Ji · Aviv Regev · Sergey Levine · Masatoshi Uehara

Cascaded Language Models for Cost-Effective Human–AI Decision-Making

Claudio Fanconi · Mihaela van der Schaar

Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models

Vineet Jain · Kusha Sareen · Mohammad Pedramfar · Siamak Ravanbakhsh

Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models

Jing Zuo · Luoping Cui · Chuang Zhu · Yonggang Qi

Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning

Chao-Chung Wu · Zhi Rui Tam · Chieh-Yen Lin · Yun-Nung (Vivian) Chen · Shao-Hua Sun · Hung-yi Lee

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models

Samuel Lavoie · Michael Noukhovitch · Aaron Courville

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

Zeqi Ye · Minshuo Chen

ComPO: Preference Alignment via Comparison Oracles

Peter Chen · Xi Chen · Wotao Yin · Tianyi Lin

Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery

Shiji Zhou · Tianbai Yu · Zhi Zhang · Heng Chang · Xiao Zhou · Dong Wu · Han Zhao

Wavy Transformer

Satoshi Noguchi · Yoshinobu Kawahara

Self-Refining Language Model Anonymizers via Adversarial Distillation

Kyuyoung Kim · Hyunjun Jeon · Jinwoo Shin

Structured Initialization for Vision Transformers

Jianqiao Zheng · Xueqian Li · Hemanth Saratchandran · Simon Lucey

Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context

Taejong Joo · Diego Klabjan

Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity

Susav Shrestha · Bradley Settlemyer · Nikoli Dryden · Narasimha Reddy

Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention

Zhihao Zhan · Jianan Zhao · Zhaocheng Zhu · Jian Tang

Order-Level Attention Similarity Across Language Models: A Latent Commonality

Jinglin Liang · Jin Zhong · Shuangping Huang · Yunqing Hu · Huiyuan Zhang · Huifang Li · Lixin Fan · Hanlin Gu

SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling

Yizhao Gao · Zhichen Zeng · DaYou Du · Shijie Cao · Peiyuan Zhou · Jiaxing Qi · Junjie Lai · Hayden So · Ting Cao · Fan Yang · Mao Yang

Variational Task Vector Composition

Boyuan Zhang · Yingjun Du · Xiantong Zhen · Ling Shao

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling

Xinglin Wang · Yiwei Li · Shaoxiong Feng · Peiwen Yuan · Yueqi Zhang · Jiayi Shi · Chuyi Tan · Boyuan Pan · Yao Hu · Prof. Kan

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer

Haiduo Huang · Jiangcheng Song · Yadong Zhang · Pengju Ren

Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective

Weizhong Huang · Yuxin Zhang · Xiawu Zheng · Fei Chao · Rongrong Ji · Liujuan Cao

GenIR: Generative Visual Feedback for Mental Image Retrieval

Diji Yang · Minghao Liu · Chung-Hsiang Lo · Yi Zhang · James Davis

A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors

Sebastian Wagner-Carena · Aizhan Akhmetzhanova · Sydney Erickson

How to build a consistency model: Learning flow maps via self-distillation

Nicholas Boffi · Michael Albergo · Eric Vanden-Eijnden

Anchored Diffusion Language Model

Litu Rout · Constantine Caramanis · Sanjay Shakkottai

Controlling Thinking Speed in Reasoning Models

Zhengkai Lin · Zhihang Fu · Ze Chen · Chao Chen · Liang Xie · Wenxiao Wang · Deng Cai · Zheng Wang · Jieping Ye

SAO-Instruct: Free-form Audio Editing using Natural Language Instructions

Michael Ungersböck · Florian Grötschla · Luca Lanzendörfer · June Young Yi · Changho Choi · Roger Wattenhofer

MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE

Zongle Huang · Lei Zhu · ZongYuan Zhan · Ting Hu · Weikai Mao · Xianzhi Yu · Yongpan Liu · Tianyu Zhang

Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs

Yibo Wang · Hai-Long Sun · Guangda Huzhang · Qingguo Chen · Zhao Xu · Weihua Luo · Kaifu Zhang · Lijun Zhang

Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning

Jaesik Yoon · Hyeonseo Cho · Yoshua Bengio · Sungjin Ahn

CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis

Florian Barthel · Wieland Morgenstern · Paul Hinzer · Anna Hilsmann · Peter Eisert

Diffusion Generative Modeling on Lie Group Representations

Marco Bertolini · Tuan Le · Djork-Arné Clevert

Large Language Diffusion Models

Shen Nie · Fengqi Zhu · Zebin You · Xiaolu Zhang · Jingyang Ou · Jun Hu · Jun Zhou · Yankai Lin · Ji-Rong Wen · Chongxuan LI

Variational Uncertainty Decomposition for In-Context Learning

I. Shavindra Jayasekera · Jacob Si · Filippo Valdettaro · Wenlong Chen · Aldo Faisal · Yingzhen Li

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics

Salva Rühling Cachay · Miika Aittala · Karsten Kreis · Noah Brenowitz · Arash Vahdat · Morteza Mardani · Rose Yu

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Jonas Geiping · Sean McLeish · Neel Jain · John Kirchenbauer · Siddharth Singh · Brian Bartoldson · Bhavya Kailkhura · Abhinav Bhatele · Tom Goldstein

The quest for the GRAph Level autoEncoder (GRALE)

Paul Krzakala · Gabriel Melo · Charlotte Laclau · Florence d'Alché-Buc · Rémi Flamary

Diffusion Beats Autoregressive in Data-Constrained Settings

Mihir Prabhudesai · Mengning Wu · Amir Zadeh · Katerina Fragkiadaki · Deepak Pathak

Graph Diffusion that can Insert and Delete

Matteo Ninniri · Marco Podda · Davide Bacciu

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models

JIPENG LI · Yanning Shen

Learning normalized image densities via dual score matching

Florentin Guth · Zahra Kadkhodaie · Eero Simoncelli

Sparse Image Synthesis via Joint Latent and RoI Flow

Ziteng Gao · Jay Zhangjie Wu · Mike Zheng Shou

On the Relation between Rectified Flows and Optimal Transport

Johannes Hertrich · Antonin Chambolle · Julie Delon

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings

Xiaoang Xu · Shuo Wang · Xu Han · Zhenghao Liu · Huijia Wu · Peipei Li · Zhiyuan Liu · Maosong Sun · Zhaofeng He

Greed is Good: A Unifying Perspective on Guided Generation

Zander W. Blasingame · Chen Liu

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods

Oussama Zekri · Nicolas Boulle

Non-Markovian Discrete Diffusion with Causal Language Models

Yangtian Zhang · Sizhuang He · Daniel Levine · Lawrence Zhao · David Zhang · Syed Rizvi · Shiyang Zhang · Emanuele Zappala · Rex Ying · David van Dijk

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction

Yifei Wang · Weimin Bai · colin zhang · Debing Zhang · Weijian Luo · He Sun

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach

Tal Gonen · Itai Pemper · Ilan Naiman · Nimrod Berman · Omri Azencot

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs

Zhangyin Feng · Qianglong Chen · Ning Lu · Yongqian Li · Siqi Cheng · Shuangmu Peng · Duyu Tang · Shengcai Liu · Zhirui Zhang

Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention

Chong You · Kan Wu · Zhipeng Jia · Lin Chen · Srinadh Bhojanapalli · Jiaxian Guo · Utku Evci · Jan Wassenberg · Praneeth Netrapalli · Jeremiah Willcock · Suvinay Subramanian · Felix Chern · Alek Andreev · Shreya Pathak · Felix Yu · Prateek Jain · David Culler · Henry Levy · Sanjiv Kumar

FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback

Dongwei Jiang · Bowei Zhang · Andrew Wang · Nicholas Andrews · Daniel Khashabi

Language Models Can Predict Their Own Behavior

Dhananjay Ashok · Jonathan May

DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks

Canyu Zhao · Yanlong Sun · Mingyu Liu · Huanyi Zheng · Muzhi Zhu · Zhiyue Zhao · Hao Chen · Tong He · Chunhua Shen

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Zichen Wen · Shaobo Wang · Yufa Zhou · Junyuan Zhang · Qintong Zhang · Yifeng Gao · Zhaorun Chen · Bin Wang · Weijia Li · Conghui He · Linfeng Zhang

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

Seo Hyun Kim · Sunwoo Hong · Hojung Jung · Youngrok Park · Se-Young Yun

Theoretical Benefit and Limitation of Diffusion Language Model

Guhao Feng · Yihan Geng · Jian Guan · Wei Wu · Liwei Wang · Di He

ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs

Jiaru Zou · Ling Yang · Jingwen Gu · Jiahao Qiu · Ke Shen · Jingrui He · Mengdi Wang

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators

Dexiong Chen · Markus Krimmel · Karsten Borgwardt

Generating Physically Sound Designs from Text and a Set of Physical Constraints

Gregory Barber · Todd Henry · Mulugeta Haile

FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training

Xinxin You · Qixin Sun · Chenwei Yan · Xiao Zhang · Chen Ning · Xiangling Fu · Si Liu · Guoping Hu · Shijin Wang · Ji Wu · Xien Liu

Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

Zhen Yang · Ziwei Du · Minghan Zhang · Wei Du · Jie Chen · Fulan Qian · Shu Zhao

Self-Assembling Graph Perceptrons

Jialong Chen · Tong Wang · Bowen Deng · Luonan Chen · Zibin Zheng · Chuan Chen

Sound Logical Explanations for Mean Aggregation Graph Neural Networks

Matthew Morris · Ian Horrocks

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models

Siwei Zhang · Yun Xiong · Yateng Tang · Jiarong Xu · Xi Chen · Zehao Gu · Xuehao Zheng · Zi'an Jia · Jiawei Zhang

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper · Tom Wollschläger · Stephan Günnemann

SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction

Yixiao Zhou · Xiaoqing Lyu · Hongxiang Lin · Huiying Hu · Tuo Wang

Redundancy-Aware Test-Time Graph Out-of-Distribution Detection

Yue Hou · He Zhu · Ruomei Liu · Yingke Su · Junran Wu · Ke Xu

Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation

Xin Ma · Yifan Wang · Siyu Yi · Wei Ju · Junyu Luo · Yusheng Zhao · Xiao Luo · Jiancheng Lv

Association-Focused Path Aggregation for Graph Fraud Detection

Tian Qiu · Wenda Li · Zunlei Feng · Jie Lei · Tao Wang · Yi Gao · Mingli Song · Yang Gao

Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs

Yaming Yang · Ziyu Zheng · Weigang Lu · Zhe Wang · Xinyan Huang · Wei Zhao · Ziyu Guan

Continuous Simplicial Neural Networks

Aref Einizade · Dorina Thanou · Fragkiskos Malliaros · Jhony H. Giraldo

Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering

Tianxiang Zhao · Youqing Wang · Jinlu Wang · Jiapu Wang · Mingliang Cui · Junbin Gao · Jipeng Guo

Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming

Zhen Zhang · Bingsheng He

Graphs Help Graphs: Multi-Agent Graph Socialized Learning

Jialu Li · Yu Wang · Pengfei Zhu · Wanyu Lin · Xinjie Yao · Qinghua Hu

Principled Data Augmentation for Learning to Solve Quadratic Programming Problems

Chendi Qian · Christopher Morris

Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks

Ali Hariri · Alvaro Arroyo · Alessio Gravina · Moshe Eliasof · Carola-Bibiane Schönlieb · Davide Bacciu · Xiaowen Dong · Kamyar Azizzadenesheli · Pierre Vandergheynst

DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion

Jin Li · Zezhong Ding · Xike Xie

Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations

Fred Xu · Thomas Markovich

Generative Graph Pattern Machine

Zehong Wang · Zheyuan Zhang · Tianyi Ma · Chuxu Zhang · Yanfang Ye

Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention

Arya Honarpisheh · Mustafa Bozdag · Octavia Camps · Mario Sznaier

Distributional Training Data Attribution: What do Influence Functions Sample?

Bruno Mlodozeniec · Isaac Reid · Sam Power · David Krueger · Murat Erdogdu · Richard Turner · Roger Grosse

Bayes optimal learning of attention-indexed models

Fabrizio Boncoraglio · Emanuele Troiani · Vittorio Erba · Lenka Zdeborová

Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability

Kaiqi Jiang · Jeremy Cohen · Yuanzhi Li

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin · Killian Bakong · Kevin Scaman

Sinusoidal Initialization, Time for a New Start

Alberto Fernandez-Hernandez · Jose Mestre · Manuel F. Dolz · José Duato · Enrique Quintana-Orti

Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations

Alexandru Crăciun · Debarghya Ghoshdastidar

Depth-Width Tradeoffs for Transformers on Graph Tasks

Gilad Yehudai · Clayton Sanford · Maya Bechler-Speicher · Orr Fischer · Ran Gilad-Bachrach · Amir Globerson

Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization

Yixiao Chen · Shikun Sun · Jianshu Li · Ruoyu Li · Zhe Li · Junliang Xing

Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search

Jingyu Li · Pengwen Dai · Mingqing Zhu · Chengwei Wang · Haolong Liu · Xiaochun Cao

Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation

Shiwei Li · Xiandi Luo · Haozhao Wang · Xing Tang · Ziqiang Cui · Dugang Liu · Yuhua Li · Xiuqiang He · Ruixuan Li

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning

Yuqi Jia · Minghong Fang · Hongbin Liu · Jinghuai Zhang · Neil Gong

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation

Sohyun Lee · Yeho Gwon · Lukas Hoyer · Suha Kwak

Best-of-N Jailbreaking

John Hughes · Sara Price · Aengus Lynch · Rylan Schaeffer · Fazl Barez · Arushi Somani · Sanmi Koyejo · Henry Sleight · Erik Jones · Ethan Perez · Mrinank Sharma

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time

Sarthak Kumar Maharana · Saksham Singh Kushwaha · Baoming Zhang · Adrian Rodriguez · Songtao Wei · Yapeng Tian · Yunhui Guo

MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification

Xinya Qin · Lu Bai · Lixin Cui · Ming Li · Hangyuan Du · Edwin Hancock

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models

Yongqi Huang · Jitao Zhao · Dongxiao He · Xiaobao Wang · Yawen Li · Yuxiao Huang · Di Jin · Zhiyong Feng

Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification

Chaewoon Bae · Doyun Choi · Jaehyun Lee · Jaemin Yoo

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

Kai Wang · Siqiang Luo · Caihua Shan · Yifei Shen

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration

Yonghao Liu · Yajun Wang · Chunli Guo · Wei Pang · Ximing Li · Fausto Giunchiglia · Xiaoyue Feng · Renchu Guan

URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles

Ahmet Onur Akman · Anastasia Psarou · Michał Hoffmann · Łukasz Gorczyca · Lukasz Kowalski · Paweł Gora · Grzegorz Jamróz · Rafal Kucharski

Scaling can lead to compositional generalization

Florian Redhardt · Yassir Akram · Simon Schug

Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study

‪Yotam Alexander‬‏ · Yonatan Slutzky · Yuval Ran-Milo · Nadav Cohen

Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws

Gerard Ben Arous · Murat Erdogdu · Nuri Mert Vural · Denny Wu

From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning

Junsoo Oh · Jerry Song · Chulhee Yun

A Minimalist Example of Edge-of-Stability and Progressive Sharpening

Liming Liu · Zixuan Zhang · Simon Du · Tuo Zhao

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

Qing Yu · Xiaobei Wang · Shuchang Liu · yandong.bai · Xiaoyu Yang · Xueliang Wang · Chang Meng · Shanshan Wu · HailanYang · Bin Wen · Huihui Xiao · Xiang Li · Fan Yang · Xiaoqiang Feng · Lantao Hu · Han Li · Kun Gai · Lixin Zou

Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving

Yuchen Zhang · Hanyue Du · Chun Cao · Jingwei Xu

Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data

Tianyi Chen · Pengxiao Lin · Zhiwei Wang · Zhi-Qin Xu

Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations

Peng Lai · Jianjie Zheng · Sijie Cheng · Yun Chen · Peng Li · Yang Liu · Guanhua Chen

ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning

Ruiyang Zhou · Shuozhe Li · Amy Zhang · Liu Leqi

SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds

Xiaokang Ye · Jiawei Ren · Yan Zhuang · Xuhong He · Yiming Liang · Yiqing Yang · Mrinaal Dogra · Xianrui Zhong · Eric Liu · Kevin Benavente · Rajiv Mandya Nagaraju · Dhruv Sharma · Ziqiao Ma · Tianmin Shu · Zhiting Hu · Lianhui Qin

Discovering Data Structures: Nearest Neighbor Search and Beyond

Omar Salemohamed · Laurent Charlin · Shivam Garg · Vatsal Sharan · Gregory Valiant

Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference

Frank Shih · Zhenghao Jiang · Faming Liang

No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization

Wenhang Shi · Yiren Chen · Shuqing Bian · Xinyi Zhang · Kai Tang · Pengfei Hu · Zhe Zhao · WEI LU · Xiaoyong Du

SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes

Yifan Yang · Zhen Zhang · Rupak Vignesh Swaminathan · Jing Liu · Nathan Susanj · Zheng Zhang

The Curse of Depth in Large Language Models

Wenfang Sun · Xinyuan Song · Pengxiang Li · Lu Yin · Yefeng Zheng · Shiwei Liu

Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability

Divya Jyoti Bajpai · Manjesh Kumar Hanawal

DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs

Ruokai Yin · Yuhang Li · Donghyun Lee · Priyadarshini Panda

SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding

Malyaban Bal · Brian Matejek · Susmit Jha · Adam Cobb

Fourier Analysis Network

Yihong Dong · Ge Li · Yongding Tao · Xue Jiang · Kechi Zhang · Jia Li · Jinliang Deng · Jing Su · Jun Zhang · Jingjing Xu

LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion

Yuan Guo · Qian Ma · Hui Li · Qiao Ning · Furui Zhan · Yu Gu · Ge Yu · Shikai Guo

Multi-agent Markov Entanglement

Shuze Chen · Tianyi Peng

Adaptively Coordinating with Novel Partners via Learned Latent Strategies

Benjamin Li · Shuyang Shi · Lucia Romero · Huao Li · Yaqi Xie · Woojun Kim · Stefanos Nikolaidis · Charles Lewis · Katia Sycara · Simon Stepputtis

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

Anjie Liu · Jianhong Wang · Samuel Kaski · Jun Wang · Mengyue Yang

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

Riccardo Zamboni · Mirco Mutti · Marcello Restelli

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning

Haochen Zhang · Zhong Zheng · Lingzhou Xue

HYPRL: Reinforcement Learning of Control Policies for Hyperproperties

Tzu-Han Hsu · Arshia Rafieioskouei · Borzoo Bonakdarpour

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira · Katarina Dyreby · Francisco Caldas · Claudia Soares

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective

Yang Zhang · Xinran Li · Jianing Ye · Shuang Qiu · Delin Qu · Xiu Li · Chongjie Zhang · Chenjia Bai

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

Haolin Pan · Hongyu Lin · Haoran Luo · Yang Liu · Kaichun Yao · Libo Zhang · Mingjie Xing · Yanjun Wu

Demystifying Language Model Forgetting with Low-rank Example Associations

Xisen Jin · Xiang Ren

Reasoning Models Better Express Their Confidence

Dongkeun Yoon · Seungone Kim · Sohee Yang · Sunkyoung Kim · Soyeon Kim · Yongil Kim · Eunbi Choi · Yireun Kim · Minjoon Seo

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling

Tianhao Chen · Xin Xu · Zijing Liu · Pengxiang Li · Xinyuan Song · AJAY JAISWAL · Fan Zhang · Jishan Hu · Yang Wang · Hao CHEN · Shizhe Diao · Shiwei Liu · Yu Li · Lu Yin · Can Yang

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents

Zhenyu Zhang · Tianyi Chen · Weiran Xu · Alex Pentland · Jiaxin Pei

Tree-Based Premise Selection for Lean4

Zichen Wang · Anjie Dong · Zaiwen Wen

Table as a Modality for Large Language Models

Liyao Li · Chao Ye · Wentao Ye · Yifei Sun · Zhe Jiang · Haobo Wang · Jiaming Tian · Yiming Zhang · NINGTAO WANG · Xing Fu · Gang Chen · Junbo Zhao

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization

Tonghan Wang · Yanchen Jiang · David Parkes

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling

Beibu Li · Qichao Shentu · Yang Shu · Hui Zhang · Ming Li · Ning Jin · Bin Yang · Chenjuan Guo

Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping

Pu Yang · Yunzhen Feng · Ziyuan Chen · Yuhang Wu · Zhuoyuan Li

Extrapolation by Association: Length Generalization Transfer In Transformers

Ziyang Cai · Nayoung Lee · Avi Schwarzschild · Samet Oymak · Dimitris Papailiopoulos

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games

Runyu Lu · Peng Zhang · Ruochuan Shi · Yuanheng Zhu · Dongbin Zhao · Yang Liu · Dong Wang · Cesare Alippi

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM

Bowen Dong · Minheng Ni · Zitong Huang · Guanglei Yang · Wangmeng Zuo · Lei Zhang

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization

Yamato Arai · Yuma Ichikawa

Generalizing Verifiable Instruction Following

Valentina Pyatkin · Saumya Malik · Victoria Graf · Hamish Ivison · Shengyi Huang · Pradeep Dasigi · Nathan Lambert · Hanna Hajishirzi

Provably Efficient Online RLHF with One-Pass Reward Modeling

Long-Fei Li · Yu-Yang Qian · Peng Zhao · Zhi-Hua Zhou

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation

Xiangyan Liu · Jinjie Ni · Zijian Wu · Chao Du · Longxu Dou · Haonan Wang · Tianyu Pang · Michael Qizhe Shieh

STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation

Hossein Goli · Michael Gimelfarb · Nathan de Lara · Haruki Nishimura · Masha Itkina · Florian Shkurti

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

Zhen Zhang · Xuehai He · Weixiang Yan · Ao Shen · Chenyang Zhao · Xin Wang

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning

Wang Yang · Zirui Liu · Hongye Jin · Qingyu Yin · Vipin Chaudhary · Xiaotian Han

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Daniel Israel · Guy Van den Broeck · Aditya Grover

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

Razaib Tariq · Minji Heo · Shahroz Tariq · Simon Woo

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev · Alexander Ustyuzhanin · Alexey Kirillov · Dmitry Baranchuk · Sergey Kastryulin

GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion

Beibei Lin · Tingting Chen · Robby Tan

Conditional Panoramic Image Generation via Masked Autoregressive Modeling

Chaoyang Wang · Xiangtai Li · Lu Qi · Xiaofan Lin · Jinbin Bai · Qianyu Zhou · Yunhai Tong

WISA: World simulator assistant for physics-aware text-to-video generation

Jing Wang · Ao Ma · Ke Cao · Jun Zheng · Jiasong Feng · Zhanjie Zhang · Wanyuan Pang · Xiaodan Liang

VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory

Young-Jae Park · Minseok Seo · Hae-Gon Jeon

CAMILA: Context-Aware Masking for Image Editing with Language Alignment

Hyunseung Kim · Chiho Choi · Srikanth Malla · Sai Padmanabhan · Saurabh Bagchi · Joon Hee Choi

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

Bozhou Zhang · Nan Song · jingyu li · Xiatian Zhu · Jiankang Deng · Li Zhang

PlayerOne: Egocentric World Simulator

Yuanpeng Tu · Hao Luo · Xi Chen · Xiang Bai · Fan Wang · Hengshuang Zhao

LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration

Yuyao Zhang · Jinghao Li · Yu-Wing Tai

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation

Yuanze Lin · Yi-Wen Chen · Yi-Hsuan Tsai · Ronald Clark · Ming-Hsuan Yang

Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification

Xiaolei Wang · Tianhong Dai · Huihui Bai · Yao Zhao · Jimin XIAO

ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation

Jiuhong Xiao · Roshan Nayak · Ning Zhang · Daniel Tortei · Giuseppe Loianno

Low-Rank Head Avatar Personalization with Registers

Sai Tanmay Reddy Chakkera · Aggelina Chatziagapi · Md Moniruzzaman · Chen-Ping Yu · Yi-Hsuan Tsai · Dimitris Samaras

OmniTry: Virtual Try-On Anything without Masks

Yutong Feng · Linlin Zhang · Hengyuan Cao · Yiming Chen · Xiaoduan Feng · Jian Cao · Yuxiong Wu · Bin Wang

High Dynamic Range Imaging with Time-Encoding Spike Camera

Zhenkun Zhu · Ruiqin Xiong · Jiyu Xie · Yuanlin Wang · Xinfeng Zhang · Tiejun Huang

Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

Yuta Oshima · Masahiro Suzuki · Yutaka Matsuo · Hiroki Furuta

GeoVideo: Introducing Geometric Regularization into Video Generation Model

Yunpeng Bai · Shaoheng Fang · Chaohui Yu · Fan Wang · Qixing Huang

Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach

Yunuo Chen · Junli Cao · Vidit Goel · Sergei Korolev · Chenfanfu Jiang · Jian Ren · Sergey Tulyakov · Anil Kag

SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency

Quanjian Song · Donghao Zhou · Jingyu Lin · Fei Shen · Jiaze Wang · Xiaowei Hu · Cunjian Chen · Pheng-Ann Heng

🎧MOSPA: Human Motion Generation Driven by Spatial Audio

Shuyang Xu · Zhiyang Dou · Mingyi Shi · Liang Pan · Leo Ho · Jingbo Wang · Yuan Liu · Cheng Lin · Yuexin Ma · Wenping Wang · Taku Komura

Faster Video Diffusion with Trainable Sparse Attention

Peiyuan Zhang · Yongqi Chen · Haofeng Huang · Will Lin · Zhengzhong Liu · Ion Stoica · Eric Xing · Hao Zhang

Aligning Text to Image in Diffusion Models is Easier Than You Think

Jaa-Yeon Lee · ByungHee Cha · Jeongsol Kim · Jong Chul Ye

CPO: Condition Preference Optimization for Controllable Image Generation

Zonglin Lyu · Ming Li · Xinxin Liu · Chen Chen

Entropy Rectifying Guidance for Diffusion and Flow Models

Tariq Berrada Ifriqi · Adriana Romero-Soriano · Michal Drozdzal · Jakob Verbeek · Karteek Alahari

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation

Bailey Trang Nguyen · Parham Saremi · Alan Wang · Fangrui Huang · Zahra TehraniNasab · Amar Kumar · Tal Arbel · Fei-Fei Li · Ehsan Adeli

FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation

Ariel Shaulov · Itay Hazan · Lior Wolf · Hila Chefer

Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation

Dongnan Gui · Xun Guo · Wengang Zhou · Yan Lu

Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy

Xiaoxiao Ma · Feng Zhao · Pengyang Ling · Haibo Qiu · Zhixiang Wei · Hu Yu · Jie Huang · Zhixiong Zeng · Lin Ma

InfinityStar: Uniﬁed Spacetime AutoRegressive Modeling for Visual Generation

Jinlai Liu · Jian Han · Bin Yan · Hui Wu · Fengda Zhu · Xing Wang · Yi Jiang · BINGYUE PENG · Zehuan Yuan

EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation

Haotian Ling · Zequn Chen · Qiuying Chen · Donglin Di · Yongjia Ma · Hao Li · Chen Wei · Zhulin Tao · Xun Yang

SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting

Mengjiao Ma · Qi Ma · Yue Li · Jiahuan Cheng · Runyi Yang · Bin Ren · Nikola Popovic · Mingqiang Wei · Nicu Sebe · Ender Konukoglu · Luc V Gool · Theo Gevers · Martin R. Oswald · Danda Pani Paudel

GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models

Zhanwei Zhang · kaiyuan liu · Junjie Liu · Wenxiao Wang · Binbin Lin · Liang Xie · Chen Shen · Deng Cai

HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis

Zipeng Wang · Dan Xu

REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints

Di Wu · Liu Liu · Zhou Linli · Anran Huang · Liangtu Song · Qiaojun Yu · Qi Wu · Cewu Lu

H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting

Bing He · Yunuo Chen · Guo Lu · Qi Wang · Qunshan Gu · Rong Xie · Li Song · Wenjun Zhang

Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior

Leo Segre · Shai Avidan

NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting

Andrea Dunn Beltran · Daniel Rho · Marc Niethammer · Roni Sengupta

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

Xiao Cao · Beibei Lin · Bo Wang · Zhiyong Huang · Robby Tan

Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting

Yiming Wang · Lucy Chai · Xuan Luo · Michael Niemeyer · Manuel Lagunas · Stephen Lombardi · Siyu Tang · Tiancheng Sun

Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding

Haoran Zhou · Gim Hee Lee

PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching

WANG Yun · Qiaole Dong · Yongjian Zhang · Tin Lun Lam · Yanwei Fu · Dapeng Wu · Junjie Hu

GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data

Wentao Wang · Hang Ye · Fangzhou Hong · Xue Yang · Jianfu Zhang · Yizhou Wang · Ziwei Liu · Liang Pan

Generative Perception of Shape and Material from Differential Motion

Xinran Han · Ko Nishino · Todd Zickler

CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction

Yiyi Liu · Chunyang Liu · Bohan Wang · Weiqin Jiao · Bojian Wu · Lubin Fan · Yuwei Chen · Fashuai Li · Biao Xiong

GLVD: Guided Learned Vertex Descent

Pol Caselles RIco · Francesc Moreno-Noguer

MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting

Yumeng He · Yunbo Wang

Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array

Qinghong Ye · Yiqian Chang · Jianing Li · Haoran Xu · Xuan Wang · Wei Zhang · Yonghong Tian · Peixi Peng

Orientation Matters: Making 3D Generative Models Orientation-Aligned

Yichong Lu · Yuzhuo Tian · Zijin Jiang · Yikun Zhao · Yuanbo Yang · Hao Ouyang · Haoji Hu · Huimin Yu · Yujun Shen · Yiyi Liao

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes

Jiaye Fu · Qiankun Gao · Chengxiang Wen · Yanmin Wu · Siwei Ma · Jiaqi Zhang · Jian Zhang

V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception

Lei Yang · Xinyu Zhang · Jun Li · Chen Wang · Jiaqi Ma · Zhiying Song · Tong Zhao · Ziying Song · Li Wang · Mo Zhou · Yang Shen · Kai WU · Chen Lv

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

Finlay Hudson · James Gardner · William Smith

VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations

Qianqian Qiao · DanDan Zheng · Yihang Bo · Bao Peng · Heng Huang · Longteng Jiang · HuayeWang · Jingdong Chen · Jun Zhou · Xin Jin

A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding

Mengjingcheng Mo · Xinyang Tong · Mingpi Tan · Jiaxu Leng · JianKang Zheng · Yiran Liu · Haosheng Chen · Ji Gan · Weisheng Li · Xinbo Gao

EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding

Ege Özsoy · Arda Mamur · Felix Tristram · Chantal Pellegrini · Magdalena Wysocki · Benjamin Busam · Nassir Navab

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen · Yoav Artzi

Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

Matvei Popov · Peter Robicheaux · Anish Madan · Isaac Robinson · Joseph Nelson · Deva Ramanan · Neehar Peri

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

Zhaowei Wang · Wenhao Yu · Xiyu REN · Jipeng Zhang · Yu Zhao · Rohit Saxena · Liang Cheng · Ginny Wong · Simon See · Pasquale Minervini · Yangqiu Song · Mark Steedman

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Chongjun Tu · Lin Zhang · pengtao chen · Peng Ye · Xianfang Zeng · Wei Cheng · Gang Yu · Tao Chen

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Yining Hong · Rui Sun · Bingxuan Li · Xingcheng Yao · Maxine Wu · Alexander Chien · Da Yin · Ying Nian Wu · Zhecan Wang · Kai-Wei Chang

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding

Jingkun Yue · Siqi Zhang · Zinan Jia · Huihuan Xu · Zongbo Han · Xiaohong Liu · Guangyu Wang

GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals

Jiachen Lu · Hailan Shanbhag · Haitham Al Hassanieh

Fix False Transparency by Noise Guided Splatting

Aly El Hakie · Yiren Lu · Yu Yin · Michael Jenkins · Yehe Liu

Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction

Jiacong Chen · Qingyu Mao · Youneng Bao · Xiandong MENG · Fanyang Meng · Ronggang Wang · Yongsheng Liang

Event-based HDR Structured Light

Jiacheng Fu · Yue Li · Xin Dong · Wenming Weng · Yueyi Zhang · Zhiwei Xiong

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations

Gaia Di Lorenzo · Federico Tombari · Marc Pollefeys · Daniel Barath

VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection

Wuyang Li · Zhu Yu · Alexandre Alahi

Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling

Shuhong Zheng · Ashkan Mirzaei · Igor Gilitschenski

Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS

Tao Wang · Mengyu Li · Geduo Zeng · Cheng Meng · Qiong Zhang

High Resolution UDF Meshing via Iterative Networks

Federico Stella · Nicolas Talabot · Hieu Le · Pascal Fua

Seeking and Updating with Live Visual Knowledge

Mingyang Fu · Yuyang Peng · Dongping Chen · Zetong Zhou · Benlin Liu · Yao Wan · Zhou Zhao · Philip S Yu · Ranjay Krishna

OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding

Jingli Lin · Chenming Zhu · Runsen Xu · Xiaohan Mao · Xihui Liu · Tai WANG · Jiangmiao Pang

Audio-Sync Video Generation with Multi-Stream Temporal Control

Shuchen Weng · Haojie Zheng · zheng chang · Si Li · Boxin Shi · Xinlong Wang

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Zhihao Sun · Haoran Jiang · Haoran Chen · Yixin Cao · Xipeng Qiu · Zuxuan Wu · Yu-Gang Jiang

Unleashing Hour-Scale Video Training for Long Video-Language Understanding

Jingyang Lin · Jialian Wu · Ximeng Sun · Ze Wang · Jiang Liu · Yusheng Su · Xiaodong Yu · Hao Chen · Jiebo Luo · Zicheng Liu · Emad Barsoum

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents

Han Xiao · Guozhi Wang · Yuxiang Chai · Zimu Lu · Weifeng Lin · Hao He · Lue Fan · Liuyang Bian · Rui Hu · Liang Liu · Shuai Ren · yafei wen · xiaoxin chen · Aojun Zhou · Hongsheng Li

GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains

Chun Wang · Xiaojun Ye · Xiaoran Pan · Zihao Pan · Haofan Wang · Yiren Song

HoliTom: Holistic Token Merging for Fast Video Large Language Models

Kele Shao · Keda TAO · Can Qin · Haoxuan You · Yang Sui · Huan Wang

Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions

Jihoon Kwon · Kyle Min · Jy-yong Sohn

Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead

Aiden Chang · Celso de Melo · Stephanie Lukin

MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification

Yingying Feng · Jie Li · Jie Hu · Yukang Zhang · Lei Tan · Jiayi Ji

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering

JIANFENG CAI · Jiale Hong · Zongmeng Zhang · Wengang Zhou · zhannianji · Houqiang Li

MR. Video: MapReduce as an Effective Principle for Long Video Understanding

Ziqi Pang · Yu-Xiong Wang

DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition

Donghao Luo · Xue Wang

SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions

Cristian Sbrolli · Matteo Matteucci

Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Weiqi Li · Xuanyu Zhang · Shijie Zhao · Yabin ZHANG · Junlin Li · Li zhang · Jian Zhang

Perception-R1: Pioneering Perception Policy with Reinforcement Learning

En Yu · Kangheng Lin · Liang Zhao · jisheng yin · Yana Wei · Yuang Peng · Haoran Wei · Jianjian Sun · Chunrui Han · Zheng Ge · Xiangyu Zhang · Daxin Jiang · Jingyu Wang · Wenbing Tao

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Haibo Wang · Bo Feng · Zhengfeng Lai · Mingze Xu · Shiyu Li · Weifeng Ge · Afshin Dehghan · Meng Cao · Ping Huang

ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning

Hritam Basak · Zhaozheng Yin

Promptable 3-D Object Localization with Latent Diffusion Models

Cheng-Yao Hong · Li-Heng Wang · Tyng-Luh Liu

Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect

Tom Kouwenhoven · Kiana Shahrasbi · Tessa Verhoef

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

Xudong Li · Mengdan Zhang · Peixian Chen · Xiawu Zheng · Yan Zhang · Jingyuan Zheng · Yunhang Shen · Ke Li · Chaoyou Fu · Xing Sun · Rongrong Ji

Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval

Siting Li · Xiang Gao · Simon Du

Tracking and Understanding Object Transformations

Yihong Sun · Xinyu Yang · Jennifer Sun · Bharath Hariharan

Efficient RAW Image Deblurring with Adaptive Frequency Modulation

Wenlong Jiao · Binglong Li · Wei Shang · Ping Wang · Dongwei Ren

MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning

Thanh-Dat Truong · Christophe Bobda · Nitin Agarwal · Khoa Luu

MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes

Shiwei Gan · Yafeng Yin · Zhiwei Jiang · Lei Xie · Sanglu Lu · Hongkai Wen

GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation

Tao Liu · Chongyu Wang · Rongjie Li · Yingchen Yu · Xuming He · Song Bai

TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer

Yang Liu · Chuanchen Luo · Zimo Tang · Yingyan Li · yuran Yang · Yuanyong Ning · Lue Fan · Junran Peng · ZHAO-XIANG ZHANG

Scaling RL to Long Videos

Yukang Chen · Wei Huang · Baifeng Shi · Qinghao Hu · Hanrong Ye · Ligeng Zhu · Zhijian Liu · Pavlo Molchanov · Jan Kautz · Xiaojuan Qi · Sifei Liu · Hongxu Yin · Yao Lu · Song Han

VideoLucy: Deep Memory Backtracking for Long Video Understanding

Jialong Zuo · Yongtai Deng · Lingdong Kong · Jingkang Yang · Rui Jin · Yiwei Zhang · Nong Sang · Liang Pan · Ziwei Liu · Changxin Gao

GRIT: Teaching MLLMs to Think with Images

Yue Fan · Xuehai He · Diji Yang · Kaizhi Zheng · Ching-Chen Kuo · Yuting Zheng · Xinze Guan · Xin Wang

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

Yongdong Luo · Xiawu Zheng · Guilin Li · Shukang Yin · Haojia Lin · Chaoyou Fu · Jinfa Huang · Jiayi Ji · Fei Chao · Jiebo Luo · Rongrong Ji

Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis

Chengliang Liu · Que Yuanxi · Qihao Xu · Yabo Liu · Jie Wen · Jinghua Wang · Xiaoling Luo

Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment

Hua Ye · Hang Ding · Siyuan Chen · Yiyang Jiang · changyuan zhang · Xuan Zhang

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding

Zongxia Li · Xiyang Wu · Guangyao Shi · Yubin Qin · Hongyang Du · Tianyi Zhou · Dinesh Manocha · Jordan Boyd-Graber

VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting

Hoonhee Cho · Jae-Young Kang · Giwon Lee · Hyemin Yang · Heejun Park · Seokwoo Jung · Kuk-Jin Yoon

Understanding and Rectifying Safety Perception Distortion in VLMs

Xiaohan Zou · Jian Kang · George Kesidis · Lu Lin

Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats

Jiaye Qian · Ge Zheng · Yuchen Zhu · Sibei Yang

VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions

Ziteng Wang · Siqi Yang · Limeng Qiao · Lin Ma

Toward Human Deictic Gesture Target Estimation

Xu Cao · Pranav Virupaksha · Sangmin Lee · Bolin Lai · Wenqi Jia · Jintai Chen · James Rehg

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs

Xiyao Wang · Zhengyuan Yang · Chao Feng · Yuhang Zhou · Xiaoyu Liu · Yongyuan Liang · Ming Li · Ziyi Zang · Linjie Li · Chung-Ching Lin · Kevin Lin · Furong Huang · Lijuan Wang

Continual Multimodal Contrastive Learning

Xiaohao Liu · Xiaobo Xia · See-Kiong Ng · Tat-Seng Chua

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

Zixiang Zhao · Haowen Bai · Bingxin Ke · Yukun Cui · Lilun Deng · Yulun Zhang · Kai Zhang · Konrad Schindler

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding

Yue Tan · Xiaoqian Hu · Hao Xue · Celso de Melo · Flora Salim

Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition

Yu Li · Jin Jiang · Jianhua Zhu · Shuai Peng · Baole · Yuxuan Zhou · Liangcai Gao

Kinaema: a recurrent sequence model for memory and pose in motion

Mert Bulent Sariyildiz · Philippe Weinzaepfel · Guillaume Bono · Gianluca Monaci · Christian Wolf

ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources

Jason Wu · Yuyang Yuan · Kang Yang · Lance Kaplan · Mani Srivastava

Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing

Huanjia Zhu · Shuyuan Zheng · Yishu Liu · Sudong Cai · Bingzhi Chen

Physics-informed Neural Operator for Pansharpening

Xinyang Liu · Junming Hou · Chenxu Wu · Xiaofeng Cong · zihao chen · Shangqi Deng · Junling Li · Liang-Jian Deng · Bo Liu

EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution

Zhebei Shen · Qifan Yu · Juncheng Li · Wei Ji · Qizhi Chen · Siliang Tang · Yueting Zhuang

MMaDA: Multimodal Large Diffusion Language Models

Ling Yang · Ye Tian · Bowen Li · Xinchen Zhang · Ke Shen · Yunhai Tong · Mengdi Wang

Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding

Yanglin Feng · Hongyuan Zhu · Dezhong Peng · Xi Peng · Xiaomin Song · Peng Hu

Multi-step Visual Reasoning with Visual Tokens Scaling and Verification

Tianyi Bai · Zengjie Hu · Fupeng Sun · Qiu Jiantao · Yizhen Jiang · Guangxin He · Bohan Zeng · Conghui He · Binhang Yuan · Wentao Zhang

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark

Jinyuan Liu · Zihang Chen · Zhu Liu · Zhiying Jiang · Long Ma · Xin Fan · Risheng Liu

Learning Human-Object Interaction as Groups

Jiajun Hong · Jianan Wei · Wenguan Wang

GMM-based VAE model with Normalising Flow for effective stochastic segmentation

Conghui Li · Chern Hong Lim · Xin Wang

OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information

Xuehui Wang · Chongjie Si · Xue Yang · Yuzhi Zhao · Wenhai Wang · Xiaokang Yang · Wei Shen

Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians

Xingyu Liu · Pengfei Ren · Qi Qi · Haifeng Sun · Zirui Zhuang · Jing Wang · Jianxin Liao · Jingyu Wang

SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation

Claudia Cuttano · Gabriele Trivigno · Giuseppe Averta · Carlo Masone

TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning

Hongyang He · Xinyuan Song · Yangfan He · Zeyu Zhang · Yanshu Li · Haochen You · Lifan Sun · Wenqiao Zhang

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation

Marc Lafon · Gustavo Vargas Hakim · Clément Rambour · Christian Desrosiers · Nicolas THOME

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Yue Zhou · Xinan He · Kaiqing Lin · Bing Fan · Feng Ding · Bin Li

C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning

Kunlun Xu · Yibo Feng · Jiangmeng Li · Yongsheng Qi · Jiahuan Zhou

Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve

Jingxuan Wang · Zhongke Wu · Wang · Zhang Zeyao · Chunhao Zheng · Di Wang

Exploring and Leveraging Class Vectors for Classifier Editing

Jaeik Kim · Jaeyoung Do

DAA: Amplifying Unknown Discrepancy for Test-Time Discovery

Tianle Liu · Fan Lyu · Chenggong Ni · Zhang Zhang · Fuyuan Hu · Liang Wang

ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding

LinshuangDiao · Sensen Song · Yurong Qian · Dayong Ren

DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method

Qingwen Zhang · Xiaomeng Zhu · Yushan Zhang · Yixi Cai · Olov Andersson · Patric Jensfelt

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models

Dingqiang Ye · Chao Fan · Zhanbo Huang · Chengwen Luo · Jianqiang Li · Shiqi Yu · Xiaoming Liu

Alexander Lappe · Martin Giese

Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection

Chanhyeong Yang · Taehoon song · Jihwan Park · Hyunwoo J. Kim

Diffusion Classifiers Understand Compositionality, but Conditions Apply

Yujin Jeong · Arnas Uselis · Seong Joon Oh · Anna Rohrbach

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

Christina Kassab · Sacha Morin · Martin Büchner · Matias Mattamala · Kumaraditya Gupta · Abhinav Valada · Liam Paull · Maurice Fallon

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin · Biruk Abere Ambaw · Adrian Popescu · Hejer AMMAR · Romaric Audigier · Hervé Le Borgne

EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models

Andy Bonnetto · Haozhe Qi · Franklin Leong · Matea Tashkovska · Mahdi Rad · Solaiman Shokur · Friedhelm C. Hummel · Silvestro Micera · Marc Pollefeys · Alexander Mathis

Merlin L48 Spectrogram Dataset

Aaron Sun · Subhransu Maji · Grant Van Horn

BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation

Yujia Chen · Rui Sun · Wangkai Li · Huayu Mai · Si Chen · Zhuoyuan Li · Zhixin Cheng · Tianzhu Zhang

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang · Yejin Kim · Minyoung Lee · Seong Joon Oh · Junsuk Choe

Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation

Yuxuan Zhang · Zhenbo Shi · han ye · Shuchang Wang · Zhidong Yu · Shaowei Wang · Wei Yang

Credal Prediction based on Relative Likelihood

Timo Löhr · Paul Hofman · Felix Mohr · Eyke Hüllermeier

Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy

Qing Zhao · Weijian Deng · Pengxu Wei · ZiYi Dong · hannan lu · Xiangyang Ji · Liang Lin

NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI

Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks

Mirali Purohit · Bimal Gajera · Vatsal Malaviya · Irish Mehta · Kunal Kasodekar · Jacob Adler · Steven Lu · Umaa Rebbapragada · Hannah Kerner

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

Lishen Qu · Zhihao Liu · Shihao Zhou · LUO YAQI · Jie Liang · Hui Zeng · Lei Zhang · Jufeng Yang

BEDLAM2.0: Synthetic humans and cameras in motion

Joachim Tesch · Giorgio Becherini · Prerana Achar · Anastasios Yiannakidis · Muhammed Kocabas · Priyanka Patel · Michael Black

Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization

Guanchen Li · Yixing Xu · Zeping Li · Ji Liu · Xuanwu Yin · Dong Li · Emad Barsoum

HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery

Vaibhav Rathore · Divyam Gupta · Biplab Banerjee

Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy

Nan Li · Yonghui Su · Lianbo Ma

Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching

Jing Zuo · Jiaqi Wang · Yonggang Qi · Yi-Zhe Song

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling

Kairun Wen · Yuzhihuang · Runyu Chen · Hui Zheng · Yunlong Lin · Panwang Pan · Chenxin Li · Wenyan Cong · Jian Zhang · Junbin Lu · Chenguo Lin · Dilin Wang · Zhicheng Yan · Hongyu Xu · Justin Theiss · Yue Huang · Xinghao Ding · Rakesh Ranjan · Zhiwen Fan

Martingale Posterior Neural Networks for Fast Sequential Decision Making

Gerardo Duran-Martin · Leandro Sánchez-Betancourt · Alvaro Cartea · Kevin Murphy

MiniMax-Remover: Taming Bad Noise Helps Video Object Removal

Bojia Zi · Weixuan Peng · Xianbiao Qi · Jianan Wang · Shihao Zhao · Rong Xiao · Kam-Fai Wong

MoRIC: A Modular Region-based Implicit Codec for Image Compression

Gen Li · Haotian Wu · Deniz Gunduz

4KAgent: Agentic Any Image to 4K Super-Resolution

Yushen Zuo · Qi Zheng · Mingyang Wu · Xinrui Jiang · Renjie Li · Jian Wang · Yide Zhang · Gengchen Mai · Lihong Wang · James Zou · Xiaoyu Wang · Ming-Hsuan Yang · Zhengzhong Tu

SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization

Xiaofeng Tan · Hongsong Wang · Xin Geng · Pan Zhou

Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting

Eunseo Koh · Sangeek Hyun · MinKyu Lee · Jiwoo Chung · Kangmin Seo · Jae-Pil Heo

Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals

Namhoon Kim · Sara Fridovich-Keil

When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning

Anirban Das · Muhammad Irtaza Khalid · Rafael Peñaloza · Steven Schockaert

Dataset Distillation of 3D Point Clouds via Distribution Matching

Jae-Young Yim · Dongwook Kim · Jae-Young Sim

DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models

Lingshun Kong · Jiawei Zhang · Dongqing Zou · Fu Lee Wang · Jimmy S. REN · Xiaohe Wu · Jiangxin Dong · Jinshan Pan

End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs

Xuelin Shen · Haifeng Jiao · Yitong Wang · Yulin HE · Wenhan Yang

Wasserstein Convergence of Critically Damped Langevin Diffusions

Stanislas Strasman · Sobihan Surendran · Claire Boyer · Sylvain Le Corff · Vincent Lemaire · Antonio Ocello

Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors

Wen Dong

Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation

Ibuki Maeda · Yao · Atsushi Nitanda

On the Hardness of Approximating Distributions with Tractable Probabilistic Models

John Leland · YooJung Choi

Novel Exploration via Orthogonality

Andreas Theophilou · Özgür Şimşek

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

Pengyi Li · Hongyao Tang · Jinbin Qiao · YAN ZHENG · Jianye Hao

The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis

Alex Lewandowski · Aditya Ramesh · Edan Meyer · Dale Schuurmans · Marlos C. Machado

Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations

Xin Liu · Haoran Li · Dongbin Zhao

Structure Matters: Dynamic Policy Gradient

Sara Klein · Xiangyuan Zhang · Tamer Basar · Simon Weissmann · Leif Döring

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Sicong Leng · Yun Xing · Zesen Cheng · Yang Zhou · Hang Zhang · Xin Li · Deli Zhao · Shijian Lu · Chunyan Miao · Lidong Bing

DQVis Dataset: Natural Language to Biomedical Visualization

Devin Lange · Pengwei Sui · Shanghua Gao · Marinka Zitnik · Nils Gehlenborg

LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?

Ziyuan He · Yuxuan Wang · Jiaqi Li · Kexin Liang · Muhan Zhang

TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation

Jiaben Chen · Zixin Wang · AILING ZENG · Yang Fu · Xueyang Yu · Siyuan Cen · Julian Tanke · Yihang Chen · Koichi Saito · Yuki Mitsufuji · Chuang Gan

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback

Boyuan Chen · Donghai Hong · Jiaming Ji · Jiacheng Zheng · Bowen Dong · Jiayi Zhou · Kaile Wang · Juntao Dai · Xuyao Wang · wenqi chen · Qirui Zheng · Wenxin Li · Sirui Han · Yike Guo · Yaodong Yang

PanTS: The Pancreatic Tumor Segmentation Dataset

Wenxuan Li · Xinze Zhou · Qi Chen · Tianyu Lin · Pedro R. A. S. Bassi · Xiaoxi Chen · Chen Ye · Zheren Zhu · Kai Ding · Heng Li · Kang Wang · Yang Yang · Yucheng Tang · Daguang Xu · Alan Yuille · Zongwei Zhou

SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference

Jiahui Wang · Haiyue Zhu · Haoren Guo · Abdullah Al Mamun · Cheng Xiang · Tong Heng LEE

SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning

Chen Chen · Majid Abdolshah · Violetta Shevchenko · Hongdong Li · Chang Xu · Pulak Purkait

FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis

xichen xu · Yanshu Wang · Jinbao Wang · XiaoNing Lei · Guoyang Xie · GUANNAN JIANG · Zhichao Lu

Towards Predicting Any Human Trajectory In Context

Ryo Fujii · Hideo Saito · Ryo Hachiuma

Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning

Alex Su · Haozhe Wang · Weiming Ren · Fangzhen Lin · Wenhu Chen

SnapMoGen: Human Motion Generation from Expressive Texts

chuan guo · Inwoo Hwang · Jian Wang · Bing Zhou

FIPER: Factorized Features for Robust Image Super-Resolution and Compression

Yang-Che Sun · Cheng-Yu Yeo · Ernie Chu · Jun-Cheng Chen · Yu-Lun Liu

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions

Simon Matrenok · Skander Moalla · Caglar Gulcehre

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations

Vivek Myers · Bill Zheng · Benjamin Eysenbach · Sergey Levine

How Far Are We from Optimal Reasoning Efficiency?

Jiaxuan Gao · Shu Yan · Qixin Tan · lu Yang · Shusheng Xu · Wei Fu · Zhiyu Mei · Kaifeng Lyu · YI WU

Predictive Preference Learning from Human Interventions

Haoyuan Cai · Zhenghao (Mark) Peng · Bolei Zhou

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation

Qijiong Liu · Jieming Zhu · Lu Fan · Kun Wang · Hengchang Hu · Wei Guo · Yong Liu · Xiao-Ming Wu

MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?

Kai Yan · Zhan Ling · Kang Liu · Yifan Yang · Ting-Han Fan · Lingfeng Shen · Zhengyin Du · Jiecao Chen

UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring

Yide Qiu · Tong Zhang · Shaoxiang Ling · Xing Cai · Ziqi Gu · Zhen Cui

BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception

junyan ye · Dongzhi JIANG · Jun He · Baichuan Zhou · Zilong Huang · Zhiyuan Yan · Hongsheng Li · Conghui He · Weijia Li

Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment

WEIMING ZHANG · Dingwen Xiao · Aobotao DAI · Yexin Liu · Tianbo Pan · Shiqi Wen · Lei Chen · Lin Wang

Towards Identifiability of Hierarchical Temporal Causal Representation Learning

Zijian Li · Minghao Fu · Junxian Huang · Yifan Shen · Ruichu Cai · Yuewen Sun · Guangyi Chen · Kun Zhang

See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model

Pengteng Li · Pinhao Song · Wuyang Li · Huizai Yao · Weiyu Guo · Yijie Xu · Dugang Liu · Hui Xiong

Steering Information Utility in Key-Value Memory for Language Model Post-Training

Chunyuan Deng · Ruidi Chang · Hanjie Chen

Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control

Georgios Papoudakis · Thomas Coste · Jianye Hao · Jun Wang · Kun Shao

GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility

Matthew Fahrbach · Srikumar Ramalingam · Morteza Zadimoghaddam · Sara Ahmadian · Gui Citovsky · Giulia DeSalvo

Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start

Fuyang Liu · Jiaqi Xu · Xiaowei Hu

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints

Changyao Tian · Hao Li · Gen Luo · Xizhou Zhu · Weijie Su · Hanming Deng · Jinguo Zhu · Jie Shao · Ziran Zhu · Yunpeng Liu · Lewei Lu · Wenhai Wang · Hongsheng Li · Jifeng Dai

Risk-aware Direct Preference Optimization under Nested Risk Measure

Lijun Zhang · Lin Li · Yajie Qi · Huizhong Song · Yaodong Yang · Jun Wang · Wei Wei

Learning to price with resource constraints: from full information to machine-learned prices

Ruicheng Ao · Jiashuo Jiang · David Simchi-Levi

HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning

Guancheng Wan · Xiaoran Shang · Yuxin Wu · Guibin Zhang · Jinhe Bi · Liangtao Zheng · Xin Lin · Yue Liu · Yanbiao Ma · Wenke Huang · Bo Du

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning

Xi Chen · Mingkang Zhu · Shaoteng Liu · Xiaoyang Wu · Xiaogang Xu · Yu Liu · Xiang Bai · Hengshuang Zhao

Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization

Yusu Hong · Junhong Lin

Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space

Mingyang Yi · Bohan Wang

Seeing the Arrow of Time in Large Multimodal Models

Zihui (Sherry) Xue · Romy Luo · Kristen Grauman

HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models

Zelin Peng · Zhengqin Xu · Qingyang Liu · Xiaokang Yang · Wei Shen

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics

Dongyoung Kim · Huiwon Jang · Sumin Park · Jaehyung Kim · Younggyo Seo · Jinwoo Shin

Inverse Methods for Missing Data Imputation

Hao Wang · zhengnan li · Zhichao Chen · Xu Chen · Shuting He · Guangyi Liu · Haoxuan Li · Zhouchen Lin

Asymmetric Dual-Lens Video Deblurring

Zeyu Xiao · Xinchao Wang

MLLMs Need 3D-Aware Representation Supervision for Scene Understanding

Xiaohu Huang · Jingjing Wu · Qunyi Xie · Kai Han

FairDD: Fair Dataset Distillation

Qihang Zhou · ShenHao Fang · Shibo He · Wenchao Meng · Jiming Chen

On Reasoning Strength Planning in Large Reasoning Models

Leheng Sheng · An Zhang · Zijian Wu · Weixiang Zhao · Changshuo Shen · zhang yi · Xiang Wang · Tat-Seng Chua

State Size Independent Statistical Error Bound for Discrete Diffusion Models

Shintaro Wakasugi · Taiji Suzuki

Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward

Dipendra Misra · Aldo Pacchiano · Ta-Chung Chi · Ge Gao

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Yiyang Zhou · Yangfan He · Yaofeng Su · Siwei Han · Joel Jang · Gedas Bertasius · Mohit Bansal · Huaxiu Yao

Momentum Multi-Marginal Schrödinger Bridge Matching

Panagiotis Theodoropoulos · Augustinos Saravanos · Evangelos Theodorou · Guan-Horng Liu

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Songhua Liu · Zhenxiong Tan · Xinchao Wang

EvoLM: In Search of Lost Language Model Training Dynamics

Zhenting Qi · Fan Nie · Alexandre Alahi · James Zou · Himabindu Lakkaraju · Yilun Du · Eric Xing · Sham Kakade · Hanlin Zhang

Improved Representation Steering for Language Models

Zhengxuan Wu · Qinan Yu · Aryaman Arora · Christopher D Manning · Chris Potts

Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations

Zican Dong · Han Peng · Peiyu Liu · Xin Zhao · Dong Wu · Feng Xiao · Zhifeng Wang

CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation

Kavana Venkatesh · Connor Dunlop · Pinar Yanardag

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

Ziqi Wang · Jiashun Liu · Ling Pan

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions

Siqi Kou · Qingyuan Tian · Hanwen Xu · Zihao Zeng · Zhijie Deng

How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?

Tuan Tran Anh · Duy M. H. Nguyen · Hoai-Chau Tran · Michael Barz · Khoa D Doan · Roger Wattenhofer · Vien Ngo · Mathias Niepert · Daniel Sonntag · Paul Swoboda

Image Super-Resolution with Guarantees via Conformalized Generative Models

Eduardo Adame · Daniel Csillag · Guilherme Tegoni Goedert

Parallel Scaling Law for Language Models

Mouxiang Chen · Binyuan Hui · Zeyu Cui · Jiaxi Yang · Dayiheng Liu · Jianling Sun · Junyang Lin · Zhongxin Liu

OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking

Zhongjian Wang · Peng Zhang · Jinwei Qi · wang yuan · Sheng Xu · Bang Zhang

SD-KDE: Score-Debiased Kernel Density Estimation

Elliot Epstein · Rajat Vadiraj Dwaraknath · Thanawat Sornwanee · John Winnicki · Jerry Liu

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Qixin Zhang · Yan Sun · Can Jin · Xikun Zhang · Yao SHU · Puning Zhao · Li Shen · Dacheng Tao

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection

Zheng Zhan · Liliang Ren · Shuohang Wang · Liyuan Liu · Yang Liu · Yeyun Gong · Yanzhi Wang · yelong shen

NavBench: Probing Multimodal Large Language Models for Embodied Navigation

Yanyuan Qiao · Haodong Hong · Wenqi Lyu · Dong An · Siqi Zhang · Yutong Xie · Xinyu Wang · Qi Wu

When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization

Vivek Ramanujan · Kushal Tirumala · Armen Aghajanyan · Luke Zettlemoyer · Ali Farhadi

MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation

kaixing yang · Xulong Tang · Ziqiao Peng · Yuxuan Hu · Jun He · Hongyan Liu

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Zhengrui Ma · Yang Feng · Chenze Shao · Fandong Meng · Jie Zhou · Min Zhang

ReDit: Reward Dithering for Improved LLM Policy Optimization

Chenxing Wei · Jiarui Yu · Ying He · Hande Dong · Yao SHU · Fei Yu

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

Zibin Dong · Yicheng Liu · Yinchuan Li · Hang Zhao · Jianye Hao

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models

William Overman · Mohsen Bayati

Kinetics: Rethinking Test-Time Scaling Law

Ranajoy Sadhukhan · Zhuoming Chen · Haizhong Zheng · Beidi Chen

LoRA vs Full Fine-tuning: An Illusion of Equivalence

Reece Shuttleworth · Jacob Andreas · Antonio Torralba · Pratyusha Sharma

Interactive Anomaly Detection for Articulated Objects via Motion Anticipation

Ankan Bhunia · Changjian Li · Hakan Bilen

Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions

Jhanvi Garg · Krishnakumar Balasubramanian · Quan Zhou

Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse

Ruikun Luo · Changwei Gu · Qiang He · Feifei Chen · Song Wu · Hai Jin · Yun Yang

AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents

Yichen Wang · Hangtao Zhang · Hewen Pan · Ziqi Zhou · Xianlong Wang · Peijin Guo · Lulu Xue · Shengshan Hu · Minghui Li · Leo Yu Zhang

MARS: A Malignity-Aware Backdoor Defense in Federated Learning

Wei Wan · Ning Yuxuan · Zhicong Huang · Cheng Hong · Shengshan Hu · Ziqi Zhou · Yechao Zhang · Tianqing Zhu · Wanlei Zhou · Leo Yu Zhang

Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2

Ziqi Zhou · Yifan Hu · Yufei Song · Zijing Li · Shengshan Hu · Leo Yu Zhang · Dezhong Yao · Long Zheng · Hai Jin

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao · Zilong Huang · Jiashi Feng · Xinggang Wang

Improving Model-Based Reinforcement Learning by Converging to Flatter Minima

Shrinivas Ramasubramanian · Benjamin Freed · Alexandre Capone · Jeff Schneider

Data Mixing Can Induce Phase Transitions in Knowledge Acquisition

Xinran Gu · Kaifeng Lyu · Jiazheng Li · Jingzhao Zhang

Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models

Soumya Suvra Ghosal · Souradip Chakraborty · Avinash Reddy · Yifu Lu · Mengdi Wang · Dinesh Manocha · Furong Huang · Mohammad Ghavamzadeh · Amrit Singh Bedi

Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs

Qi Kuang · Jiayi Wang · Fan Zhou · Zhengling Qi

Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning

Jiawei Huang · Minming Li · Hu Ding

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

Yanbo Wang · Zixiang Xu · Yue Huang · Gao Chujie · Siyuan Wu · Jiayi Ye · Pin-Yu Chen · Xiuying Chen · Xiangliang Zhang

Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval

Wenhao Li · Yuxin Zhang · Gen Luo · Haiyuan Wan · Ziyang Gong · Fei Chao · Rongrong Ji

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers

Gangwei Xu · Haotong Lin · Hongcheng Luo · Xianqi Wang · JINGFENG YAO · Lianghui Zhu · Yuechuan Pu · Cheng Chi_ · Haiyang Sun · Bing Wang · Guang Chen · Hangjun Ye · Sida Peng · Xin Yang

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

Hilal Asi · Vitaly Feldman · Hannah Keller · Guy Rothblum · Kunal Talwar

Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation

Wenbin An · Jiahao Nie · Feng Tian · Haonan Lin · mingxiang cai · Yaqiang Wu · QianYing Wang · Xiaoqin Zhang · Shijian Lu

Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

Isha Puri · Shivchander Sudalairaj · Guangxuan Xu · Abhishek Bhandwaldar · Kai Xu · Akash Srivastava

Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

Junchi Yu · Yujie Liu · Jindong Gu · Philip Torr · Dongzhan Zhou

Transductive Conformal Inference for Full Ranking

Jean-Baptiste Fermanian · Pierre Humbert · Gilles Blanchard

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference

Kyurae Kim · Yian Ma · Trevor Campbell · Jacob Gardner

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification

Mélodie Monod · Alessandro Micheli · Samir Bhatt

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation

Linye Li · Yufei Chen · Xiaodong Yue

A Hierarchy of Graphical Models for Counterfactual Inferences

Hongshuo Yang · Elias Bareinboim

HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations

Junxi Xiao · Qinliang Su · Zexin Yuan

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces

Iskander Azangulov · Andrei Smolensky · Alexander Terenin · Viacheslav (Slava) Borovitskiy

Optimal kernel regression bounds under energy-bounded noise

Amon Lahr · Johannes Köhler · Anna Scampicchio · Melanie Zeilinger

List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression

Joseph Rowan · Truong Buu Phan · Ashish Khisti

Energy-based generator matching: A neural sampler for general state space

Dongyeop Woo · Minsu Kim · Minkyu Kim · Kiyoung Seong · Sungsoo Ahn

Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo

Jakob Robnik · Reuben Cohn-Gordon · Uros Seljak

Test-Time Scaling of Diffusion Models via Noise Trajectory Search

Vignav Ramesh · Morteza Mardani

Active Measurement: Efficient Estimation at Scale

Max Hamilton · Jinlin Lai · Wenlong Zhao · Subhransu Maji · Daniel Sheldon

$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

Taehoon Yoon · Yunhong Min · Kyeongmin Yeo · Minhyuk Sung

Embeddings as Probabilistic Equivalence in Logic Programs

Jaron Maene · Efthymia Tsamoura

Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law

Frederik Kunstner · Francis Bach

Logic.py: Bridging the Gap between LLMs and Constraint Solvers

Pascal Kesseli · Peter O'Hearn · Ricardo Cabral

Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering

Chenglin Fan · Dahoon Lee · Euiwoong Lee

SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem

Ahmed Heakl · Yahia Salaheldin Shaaban · Salem Lahlou · Martin Takac · Zangir Iklassov

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization

Shaocong Ma · Heng Huang

A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems

Gokul Rajaraman · Debasish Chatterjee

A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond

Yipeng Li · Xinchen Lyu · Zhenyu Liu

Optimal Rates in Continual Linear Regression via Increasing Regularization

Ran Levinstein · Amit Attia · Matan Schliserman · Uri Sherman · Daniel Soudry · Tomer Koren · Itay Evron

Unlocking Dataset Distillation with Diffusion Models

Brian Moser · Federico Raue · Sebastian Palacio · Stanislav Frolov · Andreas Dengel

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization

Khanh-Hung (Bruce) Giang-Tran · Soroosh Shafiee · Nam Ho-Nguyen

Faster Algorithms for Structured John Ellipsoid Computation

Yang Cao · Xiaoyu Li · Zhao Song · Xin Yang · Tianyi Zhou

TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks

Xiang Meng · Mehdi Makni · Rahul Mazumder

Factor Decorrelation Enhanced Data Removal from Deep Predictive Models

Wenhao Yang · Lin Li · Xiaohui Tao · Kaize Shi

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing

Kangkang Deng · Jiachen Jin · Jiang Hu · Hongxia Wang

Efficient Adaptive Federated Optimization

Su Hyeong Lee · Sidharth Sharma · Manzil Zaheer · Tian Li

Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds

Emre Sahinoglu · Youbang Sun · Shahin Shahrampour

Perturbation Bounds for Low-Rank Inverse Approximations under Noise

Phuc Tran · Nisheeth K. Vishnoi

Opinion Maximization in Social Networks by Modifying Internal Opinions

Gengyu Wang · Runze Zhang · Zhongzhi Zhang

Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting

Kiarash Banihashem · Samira Goudarzi · MohammadTaghi Hajiaghayi · Peyman Jabbarzade · Morteza Monemizadeh

On Inductive Biases That Enable Generalization in Diffusion Transformers

Jie An · De Wang · Pengsheng Guo · Jiebo Luo · Alex Schwing

Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency

Peng Chen · Hailiang Zhao · Jiaji Zhang · Xueyan Tang · Yixuan Wang · Shuiguang Deng

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

Michal Derezinski · Daniel LeJeune · Deanna Needell · Elizaveta Rebrova

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries

Steven Kolawole · Keshav Santhanam · Virginia Smith · Pratiksha Thaker

SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs

Jinwoo Park · Seunggeun Cho · Dongsu Han

FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization

Tianle Li · Yongzhi Huang · Linshan Jiang · Chang Liu · Qipeng Xie · Wenfeng Du · Lu Wang · Kaishun Wu

Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning

Xiuwen Fang · Mang Ye

Multiplayer Federated Learning: Reaching Equilibrium with Less Communication

TaeHo Yoon · Sayantan Choudhury · Nicolas Loizou

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size

Rustem Islamov · Niccolò Ajroldi · Antonio Orvieto · Aurelien Lucchi

DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism

HongXin Xu · Tianyu Guo · Xianwei Zhang

Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency

Xiangyu Guo · Zhanqian Wu · Kaixin Xiong · Ziyang Xu · Lijun Zhou · Gangwei Xu · Shaoqing Xu · Haiyang Sun · Bing Wang · Guang Chen · Hangjun Ye · Wenyu Liu · Xinggang Wang

FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning

Haizhou Du · Yiran Xiang · Yiwen Cai · Xiufeng Liu · Zonghan Wu · Huan Huo · Guodong Long

Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers

Heekang Song · Wan Choi

New Parallel and Streaming Algorithms for Directed Densest Subgraph

Slobodan Mitrovic · Theodore Pan · Mahdi Qaempanah · Mohammad Amin Raeisi

Distributed mediation analysis with communication efficiency

Shaomin Li

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

Gabriele Oliaro · Zhihao Jia · Daniel Campos · Aurick Qiao

When majority rules, minority loses: bias amplification of gradient descent

François Bachoc · Jerome Bolte · Ryan Boustany · Loubes Jean-Michel

Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling

Yue Yang · Jinhao Li · Hao Wang

Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining

Haochen Zhang · Junze Yin · Guanchu Wang · Zirui Liu · Lin Yang · Tianyi Zhang · Anshumali Shrivastava · Vladimir Braverman

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning

Yong Liu · Zirui Zhu · Chaoyu Gong · Minhao Cheng · Cho-Jui Hsieh · Yang You

TF-MAS: Training-free Mamba2 Architecture Search

Yi Fan · Yu-Bin Yang

Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression

Kyo Kuroki · Yasuyuki Okoshi · Thiem Van Chu · Kazushi Kawamura · Masato Motomura

Accelerating Model-Free Optimization via Averaging of Cost Samples

Guido Carnevale · Giuseppe Notarstefano

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming

Paul Brunzema · Sebastian Trimpe

Distributional Adversarial Attacks and Training in Deep Hedging

Guangyi He · Tobias Sutter · Lukas Gonon

Non-Clairvoyant Scheduling with Progress Bars

Ziyad Benomar · Romain Cosson · Alexander Lindermayr · Jens Schlöter

Semi-infinite Nonconvex Constrained Min-Max Optimization

Cody Melcher · Zeinab Alizadeh · Lindsey Hiett · Afrooz Jalilzadeh · Erfan Yazdandoost Hamedani

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks

Debargha Ganguly · Vikash Singh · Sreehari Sankar · Biyao Zhang · Xuecen Zhang · Srinivasan Iyengar · Xiaotian Han · Amit Sharma · Shivkumar Kalyanaraman · Vipin Chaudhary

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems

Alan Lahoud · Erik Schaffernicht · Johannes Andreas Stork

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget

Adam Piaseczny · Md Kamran Chowdhury Shisher · Shiqiang Wang · Christopher Brinton

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Zefan Cai · Wen Xiao · Hanshi Sun · cheng Luo · Yikai Zhang · Ke Wan · Yucheng Li · Yeyang Zhou · Li-Wen Chang · Jiuxiang Gu · Zhen Dong · Animashree Anandkumar · Abedelkadir Asi · Junjie Hu

Stochastic-Constrained Stochastic Optimization with Markovian Data

Yeongjong Kim · Dabeen Lee

Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning

Weidong Liu · Jiyuan Tu · Xi Chen · Yichen Zhang

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Award

Sejnowski-Hinton Award

2:00 PM - 2:30 PM

The brain processes information through many layers of neurons. This deep architecture is representationally powerful, but it complicates learning by making it hard to identify the responsible neurons when a mistake is made. In machine learning, the backpropagation algorithm assigns blame to a neuron by computing exactly how it contributed to an error. To do this, it multiplies error signals by matrices consisting of all the synaptic weights on the neuron's axon and farther downstream. This operation requires a precisely choreographed transport of synaptic weight information, which is thought to be impossible in the brain. Here we present a surprisingly simple algorithm for deep learning, which assigns blame by multiplying error signals by random synaptic weights. We show that a network can learn to extract useful information from signals sent through these random feedback connections. In essence, the network learns to learn. We demonstrate that this new mechanism performs as quickly and accurately as backpropagation on a variety of problems and describe the principles which underlie its function. Our demonstration provides a plausible basis for how a neuron can be adapted using error signals generated at distal locations in the brain, and thus dispels long-held assumptions about the algorithmic constraints on learning in neural circuits.

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Invited Talk

Demystifying depth: Principles of learning in deep neural networks

Andrew Saxe

2:30 PM - 3:30 PM

Deep neural networks have revolutionized artificial intelligence, yet their inner workings remain poorly understood. This talk presents mathematical analyses of the nonlinear dynamics of learning in several solvable deep network models, offering theoretical insights into the role of depth. These models reveal how learning algorithms, data structure, initialization schemes, and architectural choices interact to produce hidden representations that afford complex generalization behaviors. A recurring theme across these analyses is a neural race: competing pathways within a deep network vie to explain the data, with an implicit bias toward shared representations. These shared representations in turn shape the network’s capacity for systematic generalization, multitasking, and transfer learning. I will show how such principles manifest across diverse architectures—including feedforward, recurrent, and linear attention networks. Together, these results provide analytic foundations for understanding how environmental statistics, network architecture, and learning dynamics jointly structure the emergence of neural representations and behavior.

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Speaker Bio

Andrew Saxe - Professor of Theoretical Neuroscience & Machine Learning, Gatsby Computational Neuroscience Unit and Sainsbury Wellcome Centre, UCL. Saxe’s research focuses on mathematical theories of learning in neural networks. He has developed exact solutions for learning dynamics in deep linear networks and studies connections between artificial and biological learning systems. He is a CIFAR Fellow of Learning in Machines & Brains and recipient of the 2019 Wellcome Trust Beit Prize. His work includes theoretical analyses of semantic development and the dynamics of representation learning.

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Oral

Oral 6B Multimodal 4

3:30 PM - 4:30 PM

3 Events in this session

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Jang-Hyun Kim · Jinuk Kim · Sangwoo Kwon · Jae W. Lee · Sangdoo Yun · Hyun Oh Song

MokA: Multimodal Low-Rank Adaptation for MLLMs

Yake Wei · Yu Miao · Dongzhan Zhou · Di Hu

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu · Shenggan Cheng · Guangming Tan · Yang You · Dingwen Tao

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Oral

Oral 6E Theory 4

3:30 PM - 4:30 PM

3 Events in this session

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

Siyu Chen · Theodor Misiakiewicz · Ilias Zadik · Peiyuan Zhang

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy

Phuc Tran · Van Vu · Nisheeth K. Vishnoi

Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization

Shogo Iwazaki

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Oral

Oral 6D Graph

3:30 PM - 4:30 PM

3 Events in this session

GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability

Burouj Armgaan · Eshan Jain · Harsh Pandey · Mahesh Chandran · Sayan Ranu

RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation

Xingliang Wang · Zemin Liu · Junxiao Han · Shuiguang Deng

Discovering Opinion Intervals from Conflicts in Signed Graphs

Peter Blohm · Florian Chen · Aristides Gionis · Stefan Neumann

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Oral

Oral 6C Deep Learning 3

3:30 PM - 4:30 PM

3 Events in this session

Generalized Linear Mode Connectivity for Transformers

Alexander Theus · Alessandro Cabodi · Sotiris Anagnostidis · Antonio Orvieto · Sidak Pal Singh · Valentina Boeva

On Linear Mode Connectivity of Mixture-of-Experts Architectures

Viet-Hoang Tran · Van Hoan Trinh · Khanh-Vinh Bui · Tan Nguyen

Learning (Approximately) Equivariant Networks via Constrained Optimization

Andrei Manolache · Luiz Chamon · Mathias Niepert

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Oral

Oral 6A Reinforcement/State-space 3

3:30 PM - 4:30 PM

3 Events in this session

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

Yuzheng Hu · Fan Wu · Haotian Ye · David Forsyth · James Zou · Nan Jiang · Jiaqi Ma · Han Zhao

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Kevin Wang · Ishaan Javali · Michał Bortkiewicz · Tomasz Trzcinski · Benjamin Eysenbach

Learning long range dependencies through time reversal symmetry breaking

Guillaume Pourcel · Maxence Ernoult

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Poster

San Diego Poster Session 6

4:30 PM - 7:30 PM

903 Events in this session

Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning

Zailong Tian · Zhuoheng Han · Houfeng Wang · Lizi Liao

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models

Yilang Zhang · Bingcong Li · Georgios Giannakis

An Ellipsoid Algorithm for Online Convex Optimization

Zakaria Mhammedi

Prohibiting Generative AI in any Form of Weapon Control

Mary Cummings

A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding

Alexander Goldberg · Giulia Fanti · Nihar Shah

On Optimal Steering to Achieve Exact Fairness

mohit sharma · Amit Deshpande · Chiranjib Bhattacharyya · Rajiv Ratn Shah

Homogeneous Algorithms Can Reduce Competition in Personalized Pricing

Nathanael Jo · Ashia Wilson · Kathleen Creel · Manish Raghavan

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection

Pingbang Hu · Joseph Melkonian · Weijing Tang · Han Zhao · Jiaqi Ma

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu · Tony Cao · Lesia Semenova · Chudi Zhong

Parameterized Synthetic Text Generation with SimpleStories

Lennart Finke · Chandan Sreedhara · Thomas Dooms · Mat Allen · Juan Rodriguez · Noa Nabeshima · Thomas Marshall · Dan Braun

How do Transformers Learn Implicit Reasoning?

Jiaran Ye · Zijun Yao · Zhidian Huang · Liangming Pan · Jinxin Liu · Yushi Bai · Amy Xin · Liu Weichuan · Xiaoyin Che · Lei Hou · Juanzi Li

Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality

Alex Fang · Hadi Pouransari · Matt Jordan · Alexander Toshev · Vaishaal Shankar · Ludwig Schmidt · Tom Gunter

Emergence and Evolution of Interpretable Concepts in Diffusion Models

Berk Tinaz · Zalan Fabian · Mahdi Soltanolkotabi

Better Language Model Inversion by Compactly Representing Next-Token Distributions

Murtaza Nazir · Matthew Finlayson · John Morris · Xiang Ren · Swabha Swayamdipta

Minimizing False-Positive Attributions in Explanations of Non-Linear Models

Anders Gjølbye · Stefan Haufe · Lars Kai Hansen

Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions

Hidde Fokkema · Tim van Erven · Sara Magliacane

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability

Yarden Bakish · Itamar Zimerman · Hila Chefer · Lior Wolf

Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm

Clément Bénard

Do different prompting methods yield a common task representation in language models?

Guy Davidson · Todd Gureckis · Brenden Lake · Adina Williams

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Sheng Wang · Pengan CHEN · Jingqi Zhou · Qintong Li · Jingwei Dong · Jiahui Gao · Boyang XUE · Jiyue Jiang · Lingpeng Kong · Chuan Wu

MuSLR: Multimodal Symbolic Logical Reasoning

Jundong Xu · Hao Fei · Yuhui Zhang · Liangming Pan · Qijun Huang · Qian Liu · Preslav Nakov · Min-Yen Kan · William Yang Wang · Mong-Li Lee · Wynne Hsu

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

Yuzheng Hu · Fan Wu · Haotian Ye · David Forsyth · James Zou · Nan Jiang · Jiaqi Ma · Han Zhao

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization

Haoyu Zhang · WentaoZhang · Hao Miao · Xinke Jiang · Yuchen Fang · Yifan Zhang

Rethinking Verification for LLM Code Generation: From Generation to Testing

Zihan Ma · Taolin Zhang · Maosongcao · Junnan Liu · Wenwei Zhang · Minnan Luo · Songyang Zhang · Kai Chen

Enhancing Training Data Attribution with Representational Optimization

Weiwei Sun · Haokun Liu · Nikhil Kandpal · Colin Raffel · Yiming Yang

Efficiently Verifiable Proofs of Data Attribution

Ari Karchmer · Seth Neel · Martin Pawelczyk

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests

Shiyi Xu · Hu Yiwen · Yingqian Min · Zhipeng Chen · Xin Zhao · Ji-Rong Wen

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking

Liangliang Zhang · Zhuorui Jiang · Hongliang Chi · Haoyang Chen · Mohammed ElKoumy · Fali Wang · Qiong Wu · Zhengyi Zhou · Shirui Pan · Suhang Wang · Yao Ma

Boosting Adversarial Transferability with Spatial Adversarial Alignment

Zhaoyu Chen · HaiJing Guo · Kaixun Jiang · Jiyuan Fu · Xinyu Zhou · Dingkang Yang · Hao Tang · Bo Li · Wenqiang Zhang

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Hao Li · Xiaogeng Liu · CHIU Chun · Dianqi Li · Ning Zhang · Chaowei Xiao

How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective

Yanbiao Ji · Yue Ding · Dan Luo · Chang Liu · Yuxiang Lu · Xin Xin · Hongtao Lu

Fairness under Competition

Ronen Gradwohl · Eilam Shapira · Moshe Tennenholtz

Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis

Enze Shi · Pankaj Bhagwat · Zhixian Yang · Linglong Kong · Bei Jiang

Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values

Hadi Hosseini · Samarth Khanna

AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents

Hanjun Luo · Shenyu Dai · Chiming Ni · Xinfeng Li · Guibin Zhang · Kun Wang · Tongliang Liu · Hanan Salam

Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties

Jiyoung Lee · Seungho Kim · Jieun Han · Jun-Min Lee · Kitaek Kim · Alice Oh · Edward Choi

A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings

Fitsum Gaim · Hoyun Song · Huije Lee · Changgeon Ko · Euijun Hwang · Jong C. Park

LLM Generated Persona is a Promise with a Catch

Leon Li · Haozhe Chen · Hongseok Namkoong · Tianyi Peng

FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

Yunbo Li · Jiaping Gui · Zhihang Deng · Fanchao Meng · Yue Wu

Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming

Alex Chouldechova · A. Feder Cooper · Solon Barocas · Abhinav Palia · Dan Vann · Hanna Wallach

Pinpointing Attention-Causal Communication in Language Models

Gabriel Franco · Mark Crovella

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions

Hubert Baniecki · Maximilian Muschalik · Fabian Fumagalli · Barbara Hammer · Eyke Hüllermeier · Przemyslaw Biecek

Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

Gouki Minegishi · Hiroki Furuta · Takeshi Kojima · Yusuke Iwasawa · Yutaka Matsuo

The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models

Alessandro Serra · Francesco Ortu · Emanuele Panizon · Lucrezia Valeriani · Lorenzo Basile · Alessio Ansuini · Diego Doimo · Alberto Cazzaniga

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers

Andrew Nam · Henry Conklin · Yukang Yang · Tom Griffiths · Jonathan D Cohen · Sarah-Jane Leslie

Web-Scale Collection of Video Data for 4D Animal Reconstruction

Brian Nlong Zhao · Jiajun Wu · Shangzhe Wu

MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?

Zhe Xu · Daoyuan Chen · Zhenqing Ling · Yaliang Li · Ying Shen

AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios

Yunjia Qi · Hao Peng · Xiaozhi Wang · Amy Xin · Youfeng Liu · Bin Xu · Lei Hou · Juanzi Li

PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models

Pawan Neupane · Jian Liu · Jianlin Cheng

From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

Jiahui Zhang · Yurui Chen · Yueming Xu · Ze Huang · Jilin Mei · Chunhui Chen · Yanpeng Zhou · Yu-Jie Yuan · Xinyue Cai · Guowei Huang · Xingyue Quan · Hang Xu · Li Zhang

On Group Sufficiency Under Label Bias

Haoran Zhang · Olawale Salaudeen · Marzyeh Ghassemi

Versatile differentially private learning for general loss functions

Qilong Lu · Songxi Chen · Yumou Qiu

Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy

Michele Baldassini · Francesco Pistolesi · Beatrice Lazzerini

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

Shuaiqi Wang · Vikas Raunak · Arturs Backurs · Victor Reis · Pei Zhou · Sihao Chen · Longqi Yang · Zinan Lin · Sergey Yekhanin · Giulia Fanti

RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator

SangYong Lee · Sangjun Chung · Simon Woo

When Data Can't Meet: Estimating Correlation Across Privacy Barriers

Abhinav Chakraborty · Arnab Auddy · T. Tony Cai

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy

Phuc Tran · Van Vu · Nisheeth K. Vishnoi

You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM

Binqian Xu · Haiyang Mei · Zechen Bai · Jinjin Gong · Rui Yan · Guosen Xie · Yazhou Yao · Basura Fernando · Xiangbo Shu

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches

Omri Lev · Vishwak Srinivasan · Moshe Shenfeld · Katrina Ligett · Ayush Sekhari · Ashia Wilson

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

Seanie Lee · Sangwoo Park · Dong Bok Lee · Dominik Wagner · Haebin Seong · Tobias Bocklet · Juho Lee · Sung Ju Hwang

An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise

Johanna Düngler · Amartya Sanyal

DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning

Yueyang Yuan · Wenke Huang · Guancheng Wan · Kaiqi Guan · He Li · Mang Ye

OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction

Jie Yan · Jing Liu · Zhong-Yuan Zhang

Rethinking Fair Federated Learning from Parameter and Client View

Kaiqi Guan · Wenke Huang · Xianda Guo · Yueyang Yuan · Bin Yang · Mang Ye

TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs

Parjanya Prashant · Kaustubh Ponkshe · Babak Salimi

Purifying Approximate Differential Privacy with Randomized Post-processing

Yingyu Lin · Erchi Wang · Yian Ma · Yu-Xiang Wang

Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts

Li Bai · Qingqing Ye · Xinwei Zhang · Sen Zhang · Zi Liang · Jianliang Xu · Haibo Hu

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

Zi Liang · Qingqing Ye · Xuan Liu · Yanyun Wang · Jianliang Xu · Haibo Hu

Learning to Steer: Input-dependent Steering for Multimodal LLMs

Jayneel Parekh · Pegah KHAYATAN · Mustafa Shukor · Arnaud Dapogny · Alasdair Newson · Matthieu Cord

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

Chongyu Fan · Jiancheng Liu · Licong Lin · Jinghan Jia · Ruiqi Zhang · Song Mei · Sijia Liu

Predicting the Performance of Black-box Language Models with Follow-up Queries

Dylan Sam · Marc Finzi · Zico Kolter

SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations

Buyun Liang · Liangzu Peng · Jinqi Luo · Darshan Thaker · Kwan Ho Ryan Chan · Rene Vidal

LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models

Yihao LIU · Xinqi Lyu · Dong Wang · Yanjie Li · Bin Xiao

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles

Chen Xiong · Pin-Yu Chen · Tsung-Yi Ho

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

Vineeth Dorna · Anmol Mekala · Wenlong Zhao · Andrew McCallum · Zico Kolter · Zachary Lipton · Pratyush Maini

MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation

Wei Shen · Weiqi Liu · Mingde Chen · Wenke Huang · Mang Ye

Differentially Private High-dimensional Variable Selection via Integer Programming

Petros Prastakos · Kayhan Behdin · Rahul Mazumder

Deep Learning with Plausible Deniability

Wenxuan Bao · Shan Jin · Hadi Abdullah · Anderson Nascimento · Vincent Bindschaedler · Yiwei Cai

Differential Privacy on Fully Dynamic Streams

Yuan Qiu · Ke Yi

FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts

Dario Fenoglio · Mohan Li · Pietro Barbiero · Nicholas Lane · Marc Langheinrich · Martin Gjoreski

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference

Wenxuan Zeng · Ye Dong · Jinjin Zhou · Jin Tan · Lei Wang · Tao Wei · Runsheng Wang · Meng Li

Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding

Duy-Tung Pham · An Nguyen The · Viet-Hoang Tran · Nhan-Phu Chung · Xin Tong · Tan Nguyen · Thieu Vo

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text

Yize Cheng · Vinu Sankar Sadasivan · Mehrdad Saberi · Shoumik Saha · Soheil Feizi

Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries

Haoxiang Wang · Zinan Lin · Da Yu · Huishuai Zhang

RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality

Chenlong Zhang · Zhuoran Jin · Hongbang Yuan · Jiaheng Wei · Tong Zhou · Kang Liu · Jun Zhao · Yubo Chen

Unlearning-Aware Minimization

Hoki Kim · Keonwoo Kim · Sungwon Chae · Sangwon Yoon

Approximate Domain Unlearning for Vision-Language Models

Kodai Kawamura · Yuta Goto · Rintaro Yanagi · Hirokatsu Kataoka · Go Irie

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith · Zhongming Xie · Avi Feller

C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails

Mintong Kang · Zhaorun Chen · Bo Li

Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

Zitong Shi · Guancheng Wan · Haixin Wang · Ruoyan Li · Zijie Huang · Wanjia Zhao · Yijia Xiao · Xiao Luo · Carl Yang · Yizhou Sun · Wei Wang

What Does It Take to Build a Performant Selective Classifier?

Stephan Rabanser · Nicolas Papernot

Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs

Zhixin Xie · Xurui Song · Jun Luo

Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds

Rui Wang · Chen Hu · Xiaoning Song · Xiaojun Wu · Nicu Sebe · Ziheng Chen

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers

Avisek Naug · Antonio Guillen-Perez · Vineet Kumar · Scott Greenwood · Wesley Brewer · Sahand Ghorbanpour · Ashwin Ramesh Babu · Vineet Gundecha · Ricardo Luna Gutierrez · Soumyendu Sarkar

TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles

Yaoyao Xu · Di Wang · Zihan Zhou · Tianshu Yu · Mingchen Chen

NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals

Shuai Huang · Huan Luo · Haodong Jing · Qixian Zhang · Litao Chang · Yating Feng · Xiao Lin · Chendong Qin · Han Chen · Shuwen Jia · Siyi Sun · Yongxiong Wang

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures

Elena Zamaraeva · Christopher Collins · George Darling · Matthew S Dyer · Bei Peng · Rahul Savani · Dmytro Antypov · Vladimir Gusev · Judith Clymo · Paul Spirakis · Matthew Rosseinsky

Path Gradients after Flow Matching

Lorenz Vaitl · Leon Klein

Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time

Daniel D. Richman · Jessica Karaguesian · Carl-Mikael Suomivuori · Ron Dror

Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra

Ziyu Xiong · Yichi Zhang · Foyez Alauddin · Chu Xin Cheng · Joon An · Mohammad Seyedsayamdost · Ellen Zhong

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang · Songlin Jiang · Jian Ma · Huaijin Wu · Shuangjia Zheng · Wengong Jin · Junchi Yan

Unified Scaling Laws for Compressed Representations

Andrei Panferov · Alexandra Volkova · Ionut-Vlad Modoranu · Vage Egiazarian · Mher Safaryan · Dan Alistarh

Accelerating 3D Molecule Generative Models with Trajectory Diagnosis

Zhilong Zhang · Yuxuan Song · Yichun Wang · Jingjing Gong · Hanlin Wu · Dongzhan Zhou · Hao Zhou · Wei-Ying Ma

A Markov Decision Process for Variable Selection in Branch & Bound

Paul STRANG · Zacharie ALES · Côme Bissuel · Olivier JUAN · Safia Kedad-Sidhoum · Emmanuel Rachelson

Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction

Tengfei Ma · Kun Chen · Yongsheng Zang · Yujie Chen · Xuanbai Ren · Bosheng Song · Hongxin Xiang · Yiping Liu · xiangxiang Zeng

Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies

Yibo Wen · Chenwei Xu · Jerry Yao-Chieh Hu · Kaize Ding · Han Liu

Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model

Yicong Chen · Jiahua Rao · Jiancong Xie · Dahao Xu · Zhen Wang · Yuedong Yang

Retro-R1: LLM-based Agentic Retrosynthesis

Wei Liu · Jiangtao Feng · Hongli Yu · Yuxuan Song · Yuqiang Li · Shufei Zhang · LEI BAI · Wei-Ying Ma · Hao Zhou

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang · Ke Li · Mingquan Liu · Zhixiang Cheng · Bin Yao · Wenjie Du · Jun Xia · Li Zeng · Xin Jin · xiangxiang Zeng

KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning

Wei Sun · Wen Yang · Pu Jian · Qianlong Du · Fuwei Cui · Shuo Ren · Jiajun Zhang

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification

Junjie Zhou · WEI SHAO · Yagao Yue · Wei Mu · Peng Wan · Qi Zhu · Daoqiang Zhang

Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation

Leqi Zheng · Chaokun Wang · Zixin Song · Cheng Wu · Shannan Yan · Jiajun Zhang · Ziyang Liu

TGA: True-to-Geometry Avatar Dynamic Reconstruction

Bo Guo · Sijia Wen · Ziwei Wang · Yifan Zhao

TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration

Yuwei Du · Jie Feng · Jie Zhao · Yong Li

ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching

HUANLEI GUO · Song LIU · Bingyi Jing

Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction

Zhiqiang Zhong · Davide Mottin

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling

Yanchen Luo · ZHIYUAN LIU · Yi Zhao · Sihang Li · Hengxing Cai · Kenji Kawaguchi · Tat-Seng Chua · Yang Zhang · Xiang Wang

Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models

Michael Plainer · Hao Wu · Leon Klein · Stephan Günnemann · Frank Noe

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities

Tara Akhound-Sadegh · Jungyoon Lee · Joey Bose · Valentin De Bortoli · Arnaud Doucet · Michael Bronstein · Dominique Beaini · Siamak Ravanbakhsh · Kirill Neklyudov · Alexander Tong

A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection

Gaku Morio · Harri Rowlands · Dominik Stammbach · Christopher D Manning · Peter Henderson

AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science

Chenyue Li · Wen Deng · Mengqian Lu · Binhang Yuan

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences

Jing-An Sun · Hang Fan · Junchao Gong · Ben Fei · Kun Chen · Fenghua Ling · Wenlong Zhang · Wanghan Xu · Li Yan · Pierre Gentine · LEI BAI

Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution

Jacob Lin · Edward Gryspeerdt · Ronald Clark

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs

Xinzhe Zheng · Hao Du · Fanding Xu · Jinzhe Li · ZHIYUAN LIU · Wenkang Wang · Tao Chen · Wanli Ouyang · Stan Z. Li · Yan Lu · Nanqing Dong · Yang Zhang

SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding

Thomas Walton · Darin Tsui · Aryan Musharaf · Amirali Aghazadeh

Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow

Kristiyan Sakalyan · Alessandro Palma · Filippo Guerranti · Fabian Theis · Stephan Günnemann

Inferring stochastic dynamics with growth from cross-sectional data

Stephen Zhang · Suryanarayana Maddu · Xiaojie Qiu · Victor Chardès

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

Yiming Gao · Zhen Wang · Jefferson Chen · Mark Antkowiak · Mengzhou Hu · JungHo Kong · Dexter Pratt · Jieyuan Liu · Enze Ma · Zhiting Hu · Eric Xing

Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge

Zhenyi Zhang · Zihan Wang · Yuhao Sun · Tiejun Li · Peijie Zhou

Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features

Kaichen Xu · Yihang Du · Mianpeng Liu · Zimu Yu · Xiaobo Sun

Multimodal 3D Genome Pre-training

Minghao Yang · Pengteng Li · Yan Liang · Qianyi Cai · Zhihang Zheng · Shichen Zhang · Pengfei ZHANG · Zhi-An Huang · Hui Xiong

A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking

Gal Fadlon · Idan Arbiv · Nimrod Berman · Omri Azencot

CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks

Danning Xie · Mingwei Zheng · Xuwei Liu · Jiannan Wang · Chengpeng Wang · Lin Tan · Xiangyu Zhang

CHASM: Unveiling Covert Advertisements on Chinese Social Media

Jingyi Zheng · Tianyi Hu · Yule Liu · Zhen Sun · Zongmin Zhang · Zifan Peng · Wenhan Dong · Xinlei He

WolBanking77: Wolof Banking Speech Intent Classification Dataset

Abdou Karim KANDJI · Frederic Precioso · Cheikh BA · Samba NDIAYE · Augustin NDIONE

Fast MRI for All: Bridging Access Gaps by Training without Raw Data

Yasar Utku Alcalar · Merve Gulle · Mehmet Akcakaya

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands

Vasiliki Tassopoulou · Charis Stamouli · Haochang Shou · George J. Pappas · Christos Davatzikos

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images

Xiang Lan · Feng Wu · Kai He · Qinghao Zhao · Shenda Hong · Mengling Feng

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition

Hao Zhang · Zhan Zhuang · Xuehao Wang · Xiaodong Yang · Yu Zhang

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Qingqiu Li · Zihang Cui · Seongsu Bae · Jilan Xu · Runtian Yuan · Yuejie Zhang · Rui Feng · Quanli Shen · Xiaobo Zhang · Shang Gao · Junjun He · Shujun Wang

Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images

Jiao Tang · WEI SHAO · Daoqiang Zhang

AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics

Wenhao Ding · Yiying Sheng · Simão de Castro · Hwa Leo · Choon Hwai Yap

Towards Evaluating Proactive Risk Awareness of Multimodal Language Models

Youliang Yuan · Wenxiang Jiao · Yuejin Xie · Chihao Shen · Menghan Tian · Wenxuan Wang · Jen-Tse Huang · Pinjia He

GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds

Tingting Dan · Jiaqi Ding · Guorong Wu

Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health

Pavel Dolin · Weizhi Li · Gautam Dasarathy · Visar Berisha

Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis

Mohammad Saleh Refahi · Mahdi Abavisani · Bahrad Sokhansanj · James R Brown · Gail Rosen

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu · Fan Jiang · Xinzhu Ma · Liang Zhang · Bozitao Zhong · Wanli Ouyang · Guisheng Fan · Huiqun Yu · Liang Hong · Mingchen Li

Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation

Zehui Li · Vallijah Subasri · Yifei Shen · Dongsheng Li · Wentao Gu · Guy-Bart Stan · Yiren Zhao · Caihua Shan

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Ziyang Ma · Yinghao Ma · Yanqiao Zhu · Chen Yang · Yi-Wen Chao · Ruiyang Xu · Wenxi Chen · Yuanzhe Chen · Zhuo Chen · Jian Cong · Kai Li · Keliang Li · Siyou Li · Xinfeng Li · Xiquan Li · Zheng Lian · Yuzhe Liang · Minghao Liu · Zhikang Niu · Tianrui Wang · Wang Yuping · Yuxuan Wang · Yihao Wu · Guanrou Yang · Jianwei Yu · Ruibin Yuan · Zhisheng Zheng · Ziya Zhou · Haina Zhu · Wei Xue · Emmanouil Benetos · Kai Yu · Eng-Siong Chng · Xie Chen

A Simple Linear Patch Revives Layer-Pruned Large Language Models

Xinrui Chen · Haoli Bai · Tao Yuan · ruikang liu · Kang Zhao · Xianzhi Yu · Lu Hou · Tian Guan · Yonghong He · Chun Yuan

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

Xiao Liang · Zhong-Zhi Li · Yeyun Gong · Yang Wang · Hengyuan Zhang · yelong shen · Ying Nian Wu · Weizhu Chen

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees

Hongyi Zhou · Jin Zhu · Pingfan Su · Kai Ye · Ying Yang · Shakeel Gavioli-Akilagun · Chengchun Shi

Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs

Jiacong Zhou · Jiaxu Miao · xianyun wang · Jun Yu

Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning

Marwa Abdulhai · Ryan Cheng · Donovan Clay · Tim Althoff · Sergey Levine · Natasha Jaques

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

Pengcheng Huang · Zhenghao Liu · Yukun Yan · Haiyan Zhao · Xiaoyuan Yi · Hao Chen · Zhiyuan Liu · Maosong Sun · Tong Xiao · Ge Yu · Chenyan Xiong

SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement

Chenyu Yang · Shuai Wang · Hangting Chen · Wei Tan · Jianwei Yu · Haizhou Li

dKV-Cache: The Cache for Diffusion Language Models

Xinyin Ma · Runpeng Yu · Gongfan Fang · Xinchao Wang

PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration

Songhao Wu · Ang Lv · xiao feng · Yufei zhang · Xun Zhang · Guojun Yin · Wei Lin · Rui Yan

Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation

Woojin Kim · Jaeyoung Do

Conformal Linguistic Calibration: Trading-off between Factuality and Specificity

Zhengping Jiang · Anqi Liu · Ben Van Durme

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Jiashuo Sun · Xianrui Zhong · Sizhe Zhou · Jiawei Han

LeVo: High-Quality Song Generation with Multi-Preference Alignment

Shun Lei · Yaoxun XU · ZhiweiLin · Huaicheng Zhang · Wei tan · Hangting Chen · Yixuan Zhang · Chenyu Yang · Haina Zhu · Shuai Wang · Zhiyong Wu · Dong Yu

Reasoning Planning for Language Models

Ngoc Bao Nguyen · Trung Hieu Nguyen · Ruifeng She · Xiaojin Fu · Viet Anh Nguyen

Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model

Guanlue Li · Xufeng Zhao · Fang Wu · Sören Laue

A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning

Zhi Zhou · Tan Yuhao · Zenan Li · Yuan Yao · Lan-Zhe Guo · Yu-Feng Li · Xiaoxing Ma

NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models

Luca Ghafourpour · Valentin Duruisseaux · Bahareh Tolooshams · Philip Wong · Costas Anastassiou · Animashree Anandkumar

Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks

Hongzhi Wang · Xiubo Liang · Jinxing Han · Weidong Geng

Bounds on the computational complexity of neurons due to dendritic morphology

Anamika Agrawal · Michael Buice

Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG

Shihao Yang · Feng Liu

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference

Yuan Feng · Junlin Lv · Yukun Cao · Xike Xie · S. Kevin Zhou

PlanU: Large Language Model Reasoning through Planning under Uncertainty

Ziwei Deng · Mian Deng · Chenjing Liang · Zeming Gao · Chennan Ma · Chenxing Lin · Haipeng Zhang · Songzhu Mei · Siqi Shen · Cheng Wang

Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning

Yana Wei · Liang Zhao · Jianjian Sun · Kangheng Lin · jisheng yin · Jingcheng Hu · Yinmin Zhang · En Yu · Haoran Lv · Zejia Weng · Jia Wang · Qi Han · Zheng Ge · Xiangyu Zhang · Daxin Jiang · Vishal Patel

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Andrew Zhao · Yiran Wu · Yang Yue · Tong Wu · Quentin Xu · Yang Yue · Matthieu Lin · Shenzhi Wang · Qingyun Wu · Zilong Zheng · Gao Huang

OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance

Yuhan Yao · Feifei Kou · Lei Shi · Xiao yang · Zhongbao Zhang · Suguo Zhu · Jiwei Zhang · Lirong Qiu · LI Haisheng

Sparta Alignment: Collectively Aligning Multiple Language Models through Combat

Yuru Jiang · Wenxuan Ding · Shangbin Feng · Greg Durrett · Yulia Tsvetkov

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

Yifu Guo · Jiaye Lin · Huacan Wang · Yuzhen Han · Sen Hu · Ziyi Ni · Licheng Wang · Mingguang Chen

Know What You Don't Know: Uncertainty Calibration of Process Reward Models

Young-Jin Park · Kristjan Greenewald · Kaveh Alimohammadi · Hao Wang · Navid Azizan

Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations

Ansong Ni · Ruta Desai · Yang Li · Xinjie Lei · Dong Wang · Jiemin Zhang · Jane Yu · Ramya Raghavendra · Gargi Ghosh · Shang-Wen Li · Asli Celikyilmaz

Less is More: Local Intrinsic Dimensions of Contextual Language Models

Benjamin Matthias Ruppik · Julius von Rohrscheidt · Carel van Niekerk · Michael Heck · Renato Vukovic · Shutong Feng · Hsien-chin Lin · Nurul Lubis · Bastian Rieck · Marcus Zibrowius · Milica Gasic

Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

Runzhe Zhan · Zhihong Huang · Xinyi Yang · Lidia Chao · Min Yang · Derek Wong

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling

Yang Xiao · Jiashuo WANG · Ruifeng Yuan · Chunpu Xu · Kaishuai Xu · Wenjie Li · Pengfei Liu

Audio Super-Resolution with Latent Bridge Models

Chang Li · Zehua Chen · Liyuan Wang · Jun Zhu

NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis

Shengrong Li · Qi Zhu · Chunwei Tian · Xinyang Zhang · WEI SHAO · Jie Wen · Daoqiang Zhang

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks

Ann Huang · Satpreet Harcharan Singh · Flavio Martinelli · Kanaka Rajan

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy

Feng He · Guodong Tan · Qiankun Li · Jun Yu · Quan Wen

Transformer brain encoders explain human high-level visual responses

Hossein Adeli · Sun Minni · Nikolaus Kriegeskorte

Unfolding the Black Box of Recurrent Neural Networks for Path Integration

Tianhao Chu · Yuling Wu · Neil Burgess · Zilong Ji · Si Wu

S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection

Jiaqi Wang · Zhengyu Ma · Xiongri Shen · Chenlin Zhou · Leilei Zhao · Han Zhang · Yi Zhong · Siqi Cai · Zhenxi Song · Zhiguo Zhang

POCO: Scalable Neural Forecasting through Population Conditioning

Yu Duan · Hamza Chaudhry · Misha B Ahrens · Christopher Harvey · Matthew G Perich · Karl Deisseroth · Kanaka Rajan

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

Ji Xia · Yizi Zhang · Shuqi Wang · Genevera Allen · Liam Paninski · Cole Hurwitz · Kenneth Miller

Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts

Chaitanya Kapoor · Sudhanshu Srivastava · Meenakshi Khosla

Is Limited Participant Diversity Impeding EEG-based Machine Learning?

Philipp Bomatter · Henry Gouk

LTD-Bench: Evaluating Large Language Models by Letting Them Draw

Liuhao Lin · Ke Li · Zihan Xu · Yuchen Shi · Yulei Qin · Yan Zhang · Xing Sun · Rongrong Ji

Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One

Itamar Avitan · Tal Golan

Mechanistic Interpretability of RNNs emulating Hidden Markov Models

Elia Torre · Michele Viscione · Lucas Pompe · Benjamin F. Grewe · Valerio Mante

Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers

Thomas Klein · Sascha Meyen · Wieland Brendel · Felix A. Wichmann · Kristof Meding

What do you know? Bayesian knowledge inference for navigating agents

Matthias Schultheis · Jana-Sophie Schönfeld · Constantin Rothkopf · Heinz Koeppl

RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo

Jueun Ko · Hyewon Park · Hyesong Choi · Dongbo Min

DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases

Mo WANG · Kaining Peng · Jingsheng Tang · Hongkai Wen · Quanying Liu

LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing

Hongquan He · Zhen Wang · Jingya Wang · Tao Wu · Xuming He · Bei Yu · Jingyi Yu · Hao GENG

PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions

TAOTAO JING · Tina Chen · Renran Tian · Yaobin Chen · Joshua Domeyer · Heishiro Toyoda · Rini Sherony · Zhengming Ding

Conditional Distribution Compression via the Kernel Conditional Mean Embedding

Dominic Broadbent · Nick Whiteley · Robert Allison · Tom Lovett

Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding

Seong Hyeon Park · Jinwoo Shin

Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks

Jiawei Gu · Ziyue Qiao · Zechao Li

Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning

Jongchan Park · Mingyu Park · Donghwan Lee

Price of Parsimony: Complexity of Fourier Sparsity Testing

Arijit Ghosh · Manmatha Roy

Finite-Time Bounds for Average-Reward Fitted Q-Iteration

Jongmin Lee · Ernest Ryu

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

Xianghua Zeng · Hao Peng · Yicheng Pan · Angsheng Li · Guanlin Wu

Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL

Juan Formanek · Omayma Mahjoub · Louay Nessir · Sasha Abramowitz · Ruan John de Kock · Wiem Khlifi · Daniel Rajaonarivonivelomanantsoa · Simon Du Toit · Arnol Fokam · Siddarth Singh · Ulrich Armel Mbou Sob · Felix Chalumeau · Arnu Pretorius

SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing

Jesse Haworth · Juo-Tung Chen · Nigel Nelson · Ji Woong Kim · Masoud Moghani · Chelsea Finn · Axel Krieger

Learning long range dependencies through time reversal symmetry breaking

Guillaume Pourcel · Maxence Ernoult

AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing

Sam Bright-Thonney · Christina Reissel · Gaia Grosso · Nathaniel Woodward · Katya Govorkova · Andrzej Novak · Sangeon Park · Eric Moreno · Philip Harris

Energy Loss Functions for Physical Systems

Oumar Kaba · Kusha Sareen · Daniel Levy · Siamak Ravanbakhsh

Discovering Symbolic Partial Differential Equation by Abductive Learning

En-Hao Gao · Cunjing Ge · Yuan Jiang · Zhi-Hua Zhou

Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems

Jingwen Cheng · Ruikun Li · Huandong Wang · Yong Li

Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data

Felix Koehler · Nils Thuerey

HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions

Rafael Bischof · Michal Piovarci · Michael Kraus · Siddhartha Mishra · Bernd Bickel

MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes

Feiyang Pan · Shenghe Zheng · Chunyan Yin · Guangbin Dou

Graph-based Symbolic Regression with Invariance and Constraint Encoding

Ziyu Xiang · Kenna Ashen · Xiaofeng Qian · Xiaoning Qian

DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning

Runpeng Xie · Quanwei Wang · Hao Hu · Zherui Zhou · Ni Mu · Xiyun Li · Yiqin Yang · Shuang Xu · Qianchuan Zhao · Bo Xu

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal · Jacky Chen · Nicholas Boffi · David Koes

Neuro-Spectral Architectures for Causal Physics-Informed Networks

Arthur Bizzi · Leonardo Moreira · Márcio Marques · Leonardo Mendonça · Christian de Oliveira · Vitor Balestro · Lucas dos Santos Fernandez · Daniel Yukimura · Pavel Petrov · João Pereira · Tiago Novello · Lucas Nissenbaum

Learning conformational ensembles of proteins based on backbone geometry

Nicolas Wolf · Leif Seute · Vsevolod Viliuga · Simon Wagner · Jan Stühmer · Frauke Gräter

CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs

Jan Hagnberger · Daniel Musekamp · Mathias Niepert

TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search

Akash Kundu · Stefano Mangini

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design

Rui Yang · Ziruo Wang · Yuntian Gu · Yitao Liang · Tongyang Li

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Uladzislau Sobal · Wancong Zhang · Kyunghyun Cho · Randall Balestriero · Tim G. J. Rudner · Yann LeCun

NAVIX: Scaling MiniGrid Environments with JAX

Eduardo Pignatelli · Jarek Liesen · Robert Lange · Chris Lu · Pablo Samuel Castro · Laura Toni

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs

Jingyao Wang · Wenwen Qiang · Zeen Song · Changwen Zheng · Hui Xiong

Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning

Yurun Yuan · Fan Chen · Zeyu Jia · Alexander Rakhlin · Tengyang Xie

Compute-Optimal Scaling for Value-Based Deep RL

Preston Fu · Oleh Rybkin · Zhiyuan (Paul) Zhou · Michal Nauman · Pieter Abbeel · Sergey Levine · Aviral Kumar

Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance

Xiaochen Shang · Pengwei Luo · Xinning Wang · Jiayue Zhao · Huilin Ge · Bo Dong · Xin Yang

ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning

Zhongyi Zhou · Yichen Zhu · Xiaoyu Liu · Zhibin Tang · Junjie Wen · Yaxin Peng · Chaomin Shen · Yi Xu

$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

Ruizhe Liu · Pei Zhou · Qian Luo · Li Sun · Jun CEN · Yibing Song · Yanchao Yang

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Chi-Pin Huang · Yueh-Hua Wu · Min-Hung Chen · Frank Wang · Fu-En Yang

Failure Prediction at Runtime for Generative Robot Policies

Ralf Römer · Adrian Kobras · Luca Worbis · Angela Schoellig

RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation

Tianyi Yan · Wencheng Han · xia zhou · Xueyang Zhang · Kun Zhan · Cheng-Zhong Xu · Jianbing Shen

Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies

Zohar Rimon · Elisei Shafer · Tal Tepper · Efrat Shimron · Aviv Tamar

GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving

Shuai Liu · Quanmin Liang · Zefeng Li · Boyang Li · Kai Huang

Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling

Tianyi Tan · Yinan Zheng · Ruiming Liang · Zexu Wang · Kexin ZHENG · Jinliang Zheng · Jianxiong Li · Xianyuan Zhan · Jingjing Liu

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su · Likang Peng · Yuan Sun · Dezhong Peng · Xi Peng · Xu Wang

Embodied Crowd Counting

Runling Long · Yunlong Wang · Jia Wan · Xiang Deng · Xinting Zhu · Weili Guan · Antoni Chan · Liqiang Nie

Understanding while Exploring: Semantics-driven Active Mapping

Liyan Chen · Huangying Zhan · Hairong Yin · Yi Xu · Philippos Mordohai

Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning

Sanghyun Ahn · Wonje Choi · Junyong Lee · Jinwoo Park · Honguk Woo

DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy

Rui Zhao · Yuze Fan · Ziguo Chen · Fei Gao · Zhenhai Gao

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

Kefei Zhu · Fengshuo Bai · YuanHao Xiang · Yishuai Cai · Xinglin Chen · Ruochong Li · Xingtao Wang · Hao Dong · Yaodong Yang · Xiaopeng Fan · Yuanpei Chen

Universal Visuo-Tactile Video Understanding for Embodied Interaction

Yifan Xie · Mingyang Li · Shoujie Li · Xingting Li · Guangyu Chen · Fei Ma · Fei Yu · Wenbo Ding

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang · Zhengyang Zhou · Yangze Li · Kuo Yang · Binwu Wang · Yang Wang

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation

Yinghui Liu · Hao Miao · Guojiang Shen · Yan Zhao · Xiangjie Kong · Ivan Lee

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Xiangfei Qiu · Xingjian Wu · Hanyin Cheng · Xvyuan Liu · Chenjuan Guo · Jilin Hu · Bin Yang

True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics

Christoph Jürgen Hemmer · Daniel Durstewitz

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models

Zhongzheng Qiao · Chenghao Liu · Yiming Zhang · Ming Jin · Quang Pham · Qingsong Wen · Ponnuthurai Suganthan · Xudong Jiang · Savitha Ramasamy

Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers

Jiacheng You · Xinyang Chen · Yu Sun · Weili Guan · Liqiang Nie

Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency

Renzhao Liang · Sizhe Xu · Chenggang Xie · Jingru Chen · Feiyang Ren · Shu Yang · Takahiro Yabe

Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting

Jiahui Zhang · Zhengyang Zhou · Wenjie Du · Yang Wang

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

Wenzhen Yue · Yong Liu · Hao Wang · Haoxuan Li · Xianghua Ying · Ruohao Guo · Bowei Xing · Ji Shi

WaLRUS: Wavelets for Long range Representation Using State Space Methods

Hossein Babaei · Mel White · Sina Alemohammad · Richard Baraniuk

This Time is Different: An Observability Perspective on Time Series Foundation Models

Ben Cohen · Emaad Khwaja · Youssef Doubli · Salahidine Lemaachi · Chris Lettieri · Charles Masson · Hugo Miccinilli · Elise Ramé · Qiqi Ren · Afshin Rostamizadeh · Jean du Terrail · Anna-Monica Toon · Kan Wang · Stephan Xie · Zongzhe Xu · Viktoriya Zhukova · David Asker · Ameet Talwalkar · Othmane Abou-Amal

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following

Vivek Myers · Bill Zheng · Anca Dragan · Kuan Fang · Sergey Levine

TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making

Shanshan Li · Da Huang · Yu He · Yanwei Fu · Yu-Gang Jiang · Xiangyang Xue

CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model

Dapeng Zhang · Fei Shen · Rui Zhao · Yinda Chen · Peng Zhi · Chenyang Li · Rui Zhou · Qingguo Zhou

InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning

Haotian Chi · Zeyu Feng · Yueming LYU · Chengqi Zheng · Linbo Luo · Yew Soon Ong · Ivor Tsang · Hechang Chen · Yi Chang · Haiyan Yin

3D Equivariant Visuomotor Policy Learning via Spherical Projection

Boce Hu · Dian Wang · David Klee · Heng Tian · Xupeng Zhu · Haojie Huang · Robert Platt · Robin Walters

Learning Spatial-Aware Manipulation Ordering

Yuxiang Yan · Zhiyuan Zhou · Xin Gao · Guanghao Li · Shenglin Li · Jiaqi Chen · Qunyan Pu · Jian Pu

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Danny Driess · Jost Springenberg · Brian Ichter · LILI YU · Adrian Li-Bell · Karl Pertsch · Allen Ren · Homer Walke · Quan Vuong · Lucy Xiaoyang Shi · Sergey Levine

Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification

Qingyi Pan · Yicheng Li

Adaptive Time Encoding for Irregular Multivariate Time-Series Classification

Sangho Lee · Kyeongseo Min · Youngdoo Son · Hyungrok Do

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting

Mingyuan Xia · Chunxu Zhang · Zijian Zhang · Hao Miao · Qidong Liu · Yuanshao Zhu · Bo Yang

MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling

Jiaming Ma · Binwu Wang · Qihe Huang · Guanjun Wang · Pengkun Wang · Zhengyang Zhou · Yang Wang

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

Andreas Auer · Patrick Podest · Daniel Klotz · Sebastian Böck · Günter Klambauer · Sepp Hochreiter

Synthetic Series-Symbol Data Generation for Time Series Foundation Models

Wenxuan Wang · Kai Wu · yujian li · Dan Wang · Xiaoyu Zhang

Towards Automated Petrography

Isai Daniel Chacon · Paola Ruiz Puentes · Jillian Pearse · Pablo Arbelaez

IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors

Zhongben Gong · Xiaoqun Wu · Mingyang Zhou

Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism

Ziyang Zheng · Kezhi Li · Zhengyuan Shi · Qiang Xu

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces

Yuanshao Zhu · James Yu · Xiangyu Zhao · Xun Zhou · Liang Han · Xuetao Wei · Yuxuan Liang

EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths

Zhening Li · Armando Solar-Lezama · Yisong Yue · Stephan Zheng

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

Xingjian Wu · Xiangfei Qiu · Hanyin Cheng · Zhengyu Li · Jilin Hu · Chenjuan Guo · Bin Yang

PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models

Tonglong Wei · Yan Lin · Youfang Lin · Shengnan Guo · Jilin Hu · Haitao Yuan · Gao Cong · Huaiyu Wan

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms

Hiroshi Kera · Nico Pelleriti · Yuki Ishihara · Max Zimmer · Sebastian Pokutta

High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search

Xilin Xia · Jie Wang · Wanbo Zhang · Zhihai Wang · Mingxuan Yuan · Jianye Hao · Feng Wu

VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree

Wenlong Li · Yifei Xu · Yuan Rao · Zhenhua Wang · Shuiguang Deng

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds

Yinfang Chen · Jiaqi Pan · Jackson Clark · Yiming Su · Noah Zheutlin · Bhavya Bhavya · Rohan R. Arora · Yu Deng · Saurabh Jha · Tianyin Xu

CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop

Weijian Ma · Shizhao Sun · Ruiyu Wang · Jiang Bian

Siegel Neural Networks

Xuan Son Nguyen · Aymeric Histace · Nistor Grozavu

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis

Sengim Karayalcin · Marina Krček · Stjepan Picek

Tracing the Representation Geometry of Language Models from Pretraining to Post-training

Melody Li · Kumar Krishna Agrawal · Arna Ghosh · Komal Teru · Adam Santoro · Guillaume Lajoie · Blake Richards

Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes

Wei Wu · Xuan Tan · Yan Peng · Ling Chen · FangFang Li · Chuan Luo

Coloring Learning for Heterophilic Graph Representation

Miaomiao Huang · Yuhai Zhao · Daniel Zhengkui Wang · Fenglong Ma · Yejiang Wang · Meixia Wang · Xingwei Wang

Mitigating Overthinking in Large Reasoning Models via Manifold Steering

Yao Huang · Huanran Chen · Shouwei Ruan · Yichi Zhang · Xingxing Wei · Yinpeng Dong

On the Value of Cross-Modal Misalignment in Multimodal Representation Learning

Yichao Cai · Yuhang Liu · Erdun Gao · Tianjiao Jiang · Zhen Zhang · Anton van den Hengel · Prof Javen Qinfeng Shi

UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems

Tingzhu Bi · Yicheng Pan · Xinrui Jiang · Huize Sun · Meng Ma · Ping Wang

DeCaFlow: A deconfounding causal generative model

Alejandro Almodóvar · Adrián Javaloy · Juan Parras · Santiago Zazo · Isabel Valera

Counterfactual Identifiability via Dynamic Optimal Transport

Fabio De Sousa Ribeiro · Ainkaran Santhirasekaram · Ben Glocker

Causal Discovery and Inference through Next-Token Prediction

Eivinas Butkus · Nikolaus Kriegeskorte

A Counterfactual Semantics for Hybrid Dynamical Systems

Andy Zane · Dmitry Batenkov · Rafal Urbaniak · Jeremy Zucker · Sam Witty

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

Xiangning Yu · Zhuohan Wang · Linyi Yang · Haoxuan Li · Anjie Liu · Xiao Xue · Jun Wang · Mengyue Yang

When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions

Moritz Willig · Tim Woydt · Devendra Singh Dhami · Kristian Kersting

Resolution of Simpson's paradox via the common cause principle

Arshak Hovhannisyan · Armen Allahverdyan

ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions

Bufang Yang · Lilin Xu · Liekang Zeng · Kaiwei Liu · Siyang Jiang · Wenrui Lu · Hongkai Chen · Xiaofan Jiang · Guoliang Xing · Zhenyu Yan

SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches

Ehsan Latif · Zirak Khan · Xiaoming Zhai

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens

Chao Wang · Yixin Song · Jinhui Ye · Chuan Qin · Dazhong Shen · Lingfeng Liu · Xiang Wang · Yanyong Zhang

Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning

Dongkwan Lee · JunHoo Lee · Nojun Kwak

Mitigating Spurious Features in Contrastive Learning with Spectral Regularization

Naghmeh Ghanooni · Waleed Mustafa · Dennis Wagner · Sophie Fellenz · Anthony Lin · Marius Kloft

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Xiangchen Song · Jiaqi Sun · Zijian Li · Yujia Zheng · Kun Zhang

Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning

Navita Goyal · Hal Daumé III · Alexandre Drouin · Dhanya Sridhar

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Zhiyuan Liang · Dongwen Tang · Yuhao Zhou · Xuanlei Zhao · Mingjia Shi · Wangbo Zhao · Zekai Li · Peihao Wang · Konstantin Schürholt · Damian Borth · Michael Bronstein · Yang You · Zhangyang "Atlas" Wang · Kai Wang

LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space

Zhangyu Wang · Zeping Liu · Jielu Zhang · Zhongliang Zhou · Qian Cao · Nemin Wu · Lan Mu · Yang Song · Yiqun Xie · Ni Lao · Gengchen Mai

AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts

Denizhan Kara · Tomoyoshi Kimura · Jinyang Li · Bowen He · Yizhuo Chen · Yigong Hu · Hongjue Zhao · Shengzhong Liu · Tarek Abdelzaher

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning

Achleshwar Luthra · Tianbao Yang · Tomer Galanti

TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model

Yichen Liu · Yan Lin · Shengnan Guo · Zeyu Zhou · Youfang Lin · Huaiyu Wan

CG-SSL: Concept-Guided Self-Supervised Learning

Sara Atito · Josef Kittler · Imran Razzak · Muhammad Awais

Token Bottleneck: One Token to Remember Dynamics

Taekyung Kim · Dongyoon Han · Byeongho Heo · Jeongeun Park · Sangdoo Yun

Robust Transfer Learning with Unreliable Source Data

Jianqing Fan · Cheng Gao · Jason Klusowski

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration

Wenju Sun · Qingyong Li · Wen Wang · Yang Liu · Yangliao Geng · Boyang Li

MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging

Zihuan Qiu · Yi Xu · Chiyuan He · Fanman Meng · Linfeng Xu · Qingbo Wu · Hongliang Li

Continual Optimization with Symmetry Teleportation for Multi-Task Learning

Zhipeng Zhou · Ziqiao Meng · Pengcheng Wu · Peilin Zhao · Chunyan Miao

Encouraging metric-aware diversity in contrastive representation space

Tianxu Li · Kun Zhu

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Daniel Dsouza · Julia Kreutzer · Adrien Morisot · Ahmet Üstün · Sara Hooker

Co-Regularization Enhances Knowledge Transfer in High Dimensions

Shuo Shuo Liu · Haotian Lin · Matthew Reimherr · Runze Li

LLM Meeting Decision Trees on Tabular Data

Hangting Ye · Jinmeng Li · He Zhao · Dandan Guo · Yi Chang

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding

Shukai Gong · YIYANG FU · Fengyuan Ran · Quyu Kong · Feng Zhou

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection

Jiachen Liang · RuiBing Hou · Minyang Hu · Hong Chang · Shiguang Shan · Xilin Chen

Post Hoc Regression Refinement via Pairwise Rankings

Kevin Tirta Wijaya · Michael Sun · Minghao Guo · Hans-peter Seidel · Wojciech Matusik · Vahid Babaei

Generalizable Reasoning through Compositional Energy Minimization

Alexandru Oarga · Yilun Du

Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement

Yunan Lu · Xixi Zhang · Yaojin Lin · Weiwei Li · Lei Yang · Xiuyi Jia

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

Danni Yang · Zhikang Chen · Sen Cui · Mengyue Yang · Ding Li · Abudukelimu Wuerkaixi · Haoxuan Li · Jinke Ren · Mingming Gong

Towards a Geometric Understanding of Tensor Learning via the t-Product

Andong Wang · Yuning Qiu · Haonan Huang · Zhong Jin · Guoxu Zhou · Qibin Zhao

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms

Philippe Wyder · Judah Goldfeder · Alexey Yermakov · Yue Zhao · Stefano Riva · Jan Williams · David Zoro · Amy Rude · Matteo Tomasetto · Joe Germany · Joseph Bakarji · Georg Maierhofer · Miles Cranmer · Nathan Kutz

Establishing Best Practices in Building Rigorous Agentic Benchmarks

Yuxuan Zhu · Tengjun Jin · Yada Pruksachatkun · Andy Zhang · Shu Liu · Sasha Cui · Sayash Kapoor · Shayne Longpre · Kevin Meng · Rebecca Weiss · Fazl Barez · Rahul Gupta · Jwala Dhamala · Jacob Merizian · Mario Giulianelli · Harry Coppock · Cozmin Ududec · Antony Kellermann · Jasjeet Sekhon · Jacob Steinhardt · Sarah Schwettmann · Arvind Narayanan · Matei A Zaharia · Ion Stoica · Percy Liang · Daniel Kang

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Tianyu Hua · Harper Hua · Violet Xiang · Benjamin Klieger · Sang Truong · Weixin Liang · Fan-Yun Sun · Nick Haber

Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions

Wenxuan Bao · Ruxi Deng · Jingrui He

Revisiting Semi-Supervised Learning in the Era of Foundation Models

Ping Zhang · Zheda Mai · Quang-Huy (Percy) Nguyen · Wei-Lun (Harry) Chao

Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations

Jiabin Lin · Shana Moothedath

Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models

Yan-Shuo Liang · Jia-Rui Chen · Wu-Jun Li

Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation

Jingyao Li · Zhanshan Li · Shuai Lü

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

Yufan Li · Pragya Sur

Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold

Ido Cohen · Ronen Talmon

Weak-to-Strong Generalization under Distribution Shifts

Myeongho Jeon · Jan Sobotka · Suhwan Choi · Maria Brbic

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou · Bo Han · Yuheng Jia · Hui LIU · Junhui Hou

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

Saleh Momeni · Changnan Xiao · Bing Liu

A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data

Dongguen Kim · Young-Geun Choi · Minwoo Chae

Preference-Based Dynamic Ranking Structure Recognition

Nan Lu · Jian Shi · Xinyu Tian

Accelerated Evolving Set Processes for Local PageRank Computation

Binbin Huang · Luo Luo · Yanghua Xiao · Deqing Yang · Baojian Zhou

Environment Inference for Learning Generalizable Dynamical System

Shixuan Liu · Yue He · Haotian Wang · Wenjing Yang · Yunfei Wang · Peng Cui · Zhong Liu

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need

Kecheng Chen · Pingping Zhang · Hui Liu · Jie Liu · Yibing Liu · Jiaxin Huang · Shiqi Wang · Hong Yan · Haoliang Li

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

Boyang Peng · Sanqing Qu · Tianpei Zou · Fan Lu · Ya Wu · Kai Chen · Siheng Chen · Yong Wu · Guang Chen

Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization

Yang Qiu · Yixiong Zou · Jun Wang · Wei Liu · Xiangyu Fu · Ruixuan Li

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block · Sundararajan Srinivasan · Liam Collins · Aryan Mokhtari · Sanjay Shakkottai

When Does Curriculum Learning Help? A Theoretical Perspective

Raman Arora · Yunjuan Wang · Kaibo Zhang

Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model

Yuyao Wang · Yu-Hung Cheng · Debarghya Mukherjee · Huimin Cheng

Principled Model Routing for Unknown Mixtures of Source Domains

Christoph Dann · Yishay Mansour · Teodor Vanislavov Marinov · Mehryar Mohri

Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling

Wanpeng Zhang · Yuhao Fang · Xihang Qiu · Jiarong Cheng · Jialong Hong · Bin Zhai · Qing Zhou · Yao Lu · Ye Zhang · Chun Li

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

Siyu Chen · Theodor Misiakiewicz · Ilias Zadik · Peiyuan Zhang

Transformers are almost optimal metalearners for linear classification

Roey Magen · Gal Vardi

Infrequent Exploration in Linear Bandits

Harin Lee · Min-hwan Oh

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

Binxu Wang · Cengiz Pehlevan

Safely Learning Controlled Stochastic Dynamics

Luc Brogat-Motte · Alessandro Rudi · Riccardo Bonalli

Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables

Futoshi Futami · Masahiro Fujisawa

Agnostic Continuous-Time Online Learning

Pramith Devulapalli · Changlong Wu · Ananth Grama · Wojciech Szpankowski

Dynamic Regret Reduces to Kernelized Static Regret

Andrew Jacobsen · Alessandro Rudi · Francesco Orabona · Nicolò Cesa-Bianchi

Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality

Junyan Liu · Ziyun Chen · Kun Wang · Haipeng Luo · Lillian Ratliff

Prediction with expert advice under additive noise

Alankrita Bhatt · Victoria Kostina

Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses

Deheng Yuan · Tao Guo · Zhongyi Huang

No-Regret Online Autobidding Algorithms in First-price Auctions

Yilin LI · Yuan Deng · Wei Tang · Hanrui Zhang

Optimism Without Regularization: Constant Regret in Zero-Sum Games

John Lazarsfeld · Georgios Piliouras · Ryann Sim · Stratis Skoulakis

Mechanism Design via the Interim Relaxation

Kshipra Bhawalkar · Marios Mertzanidis · Divyarthi Mohan · Alexandros Psomas

Stackelberg Learning with Outcome-based Payment

Tom Yan · Chicheng Zhang

Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles

Kushagra Gupta · Surya Murthy · Mustafa Karabag · Ufuk Topcu · David Fridovich-Keil

Prior-Guided Diffusion Planning for Offline Reinforcement Learning

Donghyeon Ki · JunHyeok Oh · Seong-Woong Shim · Byung-Jun Lee

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints

Yan Dai · Negin Golrezaei · Patrick Jaillet

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization

Yu Huang · Zixin Wen · Aarti Singh · Yuejie Chi · Yuxin Chen

Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity

Pengqi Li · Lizhong Ding · Jiarun Fu · Chunhui Zhang · Guoren Wang · Ye Yuan

Generalization Bounds for Model-based Algorithm Configuration

Zhiyang Chen · Hailong Yao · Xia Yin

Learning from positive and unlabeled examples -Finite size sample bounds

Farnam Mansouri · Shai Ben-David

Learning Theory for Kernel Bilevel Optimization

Fares El Khoury · Edouard Pauwels · Samuel Vaiter · Michael Arbel

Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$

Bowei Zhu · Shaojie Li · Mingyang Yi · Yong Liu

Robust Contextual Pricing

Anupam Gupta · Guru Guruganesh · Renato Leme · Jon Schneider

Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points

Naoya Yamamoto · Juno Kim · Taiji Suzuki

On the Robustness of Transformers against Context Hijacking for Linear Classification

Tianle Li · Chenyang Zhang · Xingwu Chen · Yuan Cao · Difan Zou

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning

Yizhen Zhang · Yang Ding · Shuoshuo Zhang · Xinchen Zhang · Haoling Li · Zhong-Zhi Li · Peijie Wang · Jie Wu · Lei Ji · Yeyun Gong · yelong shen · Yujiu Yang

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts

Ben Schiffer · Mark Sellke

Online Learning of Neural Networks

Amit Daniely · Idan Mehalel · Elchanan Mossel

Learning single index models via harmonic decomposition

Nirmit Joshi · Hugo Koubbi · Theodor Misiakiewicz · Nati Srebro

A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models

YuQing Xie · Tess Smidt

Online Learning of Pure States is as Hard as Mixed States

Maxime Meyer · Soumik Adhikary · Naixu Guo · Patrick Rebentrost

Optimal Regret of Bandits under Differential Privacy

Achraf Azize · Yulian Wu · Junya Honda · Francesco Orabona · Shinji Ito · Debabrota Basu

Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning

Weikuo Wang · Yue Liao · Huan Luo

RLZero: Direct Policy Inference from Language Without In-Domain Supervision

Harshit Sushil Sikchi · Siddhant Agarwal · Pranaya Jajoo · Samyak Parajuli · Caleb Chuck · Max Rudolph · Peter Stone · Amy Zhang · Scott Niekum

SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents

Wanxin Tian · Shijie Zhang · Kevin Zhang · Xiaowei Chi · Chun-Kai Fan · Junyu Lu · Yulin Luo · Qiang Zhou · Yiming Zhao · Ning Liu · Siyu Lin · Zhiyuan Qin · Xiaozhu Ju · Shanghang Zhang · Jian Tang

Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis

Dong Yang · YIYI CAI · Yuki Saito · Lixu Wang · Hiroshi Saruwatari

SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer

Yarden As · Chengrui (Ray) Qu · Benjamin Unger · Dong Ho Kang · Max van der Hart · Laixi Shi · Stelian Coros · Adam Wierman · Andreas Krause

BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces

Matthew Landers · Taylor W. Killian · Hugo Barnes · Tom Hartvigsen · Afsaneh Doryab

Actor-Free Continuous Control via Structurally Maximizable Q-Functions

Yigit Korkmaz · Urvi Bhuwania · Ayush Jain · Erdem Bıyık

One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning

Zijian Guo · İlker Işık · H M Sabbir Ahmad · Wenchao Li

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations

Yujie Zhu · Charles Hepburn · Matthew Thorpe · Giovanni Montana

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang · Jinghan Ke · Hancheng Ye · Yueqian Lin · Yuzhe Fu · Jianyi Zhang · Kurt Keutzer · Chenfeng Xu · Yiran Chen

Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability

Eline M. Bovy · Caleb Probine · Marnix Suilen · Ufuk Topcu · Nils Jansen

Near-Optimal Sample Complexity for Online Constrained MDPs

Chang Liu · Yunfan Li · Lin Yang

Planning and Learning in Average Risk-aware MDPs

Weikai Wang · Erick Delage

When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses

Antoine Moulin · Emmanuel Esposito · Dirk van der Hoeven

Constrained Linear Thompson Sampling

Aditya Gangrade · Venkatesh Saligrama

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson · Thang Chu · Bo Dai · Dale Schuurmans · Csaba Szepesvari · Jincheng Mei

Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design

Yunfan Li · Eric Liu · Lin Yang

Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning

Yash Jhaveri · Harley Wiltzer · Patrick Shafto · Marc Bellemare · David Meger

LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language

Periklis Mantenoglou · Rishi Hazra · Pedro Zuidberg Dos Martires · Luc De Raedt

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

Shuze Daniel Liu · Shuhang Chen · Shangtong Zhang

Structured Reinforcement Learning for Combinatorial Decision-Making

Heiko Hoppe · Léo Baty · Louis Bouvier · Axel Parmentier · Maximilian Schiffer

Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards

Artin Tajdini · Jonathan Scarlett · Kevin Jamieson

Normalizing Flows are Capable Models for Continuous Control

Raj Ghugare · Benjamin Eysenbach

Adversarial Diffusion for Robust Reinforcement Learning

Daniele Foffano · Alessio Russo · Alexandre Proutiere

OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model

Zhenhao Zhang · Ye Shi · Lingxiao Yang · Suting Ni · Qi Ye · Jingya Wang

Learning to Better Search with Language Models via Guided Reinforced Self-Training

Seungyong Moon · Bumsoo Park · Hyun Oh Song

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

Gunshi Gupta · Karmesh Yadav · Zsolt Kira · Yarin Gal · Rahaf Aljundi

Sparse Optimistic Information Directed Sampling

Ludovic Schwartz · Hamish Flynn · Gergely Neu

Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach

Swetha Ganesh · Vaneet Aggarwal

FraPPE: Fast and Efficient Preference-Based Pure Exploration

Udvas Das · Apurv Shukla · Debabrota Basu

$\varepsilon$-Optimally Solving Two-Player Zero-Sum POSGs

Erwan escudie · Matthia Sabatelli · Olivier Buffet · Jilles Dibangoye

Backward Conformal Prediction

Etienne Gauthier · Francis Bach · Michael Jordan

Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update

Yu-Jie Zhang · Sheng-An Xu · Peng Zhao · Masashi Sugiyama

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić · Tom Cesari · Roberto Colomboni · Christian Paravalos

How Patterns Dictate Learnability in Sequential Data

Mario Morawski · Anaïs Després · Remi Rehm

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

Lucas Morisset · Adrien Hardy · Alain Durmus

On the Emergence of Linear Analogies in Word Embeddings

Daniel Korchinski · Dhruva Karkada · Yasaman Bahri · Matthieu Wyart

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration

Yifeng Yu · Lu Yu

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

Lequan Lin · Dai Shi · Andi Han · Feng Chen · Qiuzheng Chen · Jiawen Li · Zhaoyang Li · Jiyuan Zhang · Zhenbang Sun · Junbin Gao

PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models

Lancheng Zou · Shuo Yin · Zehua Pei · Tsung-Yi Ho · Farzan Farnia · Bei Yu

HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs

Saleh Ashkboos · Mahdi Nikdan · Rush Tabesh · Roberto Castro · Torsten Hoefler · Dan Alistarh

Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks

Giyeong Oh · Woohyun Cho · Siyeol Kim · Suhwan Choi · Youngjae Yu

Flexible Realignment of Language Models

Wenhong Zhu · Ruobing Xie · Weinan Zhang · Rui Wang

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu · Lizhong Ding · MinghongZhang · Ye Yuan · Xingcan Li · Pengqi Li · Tihang Xi · Guoren Wang · Changsheng Li

QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution

Zhenwei Zhang · Fanhua Shang · Hongying Liu · Liang Wan · Wei Feng · Yanming Hui

Masked Gated Linear Unit

Yukito Tajima · Nakamasa Inoue · Yusuke Sekikawa · Ikuro Sato · Rio Yokota

Uncovering the Spectral Bias in Diagonal State Space Models

Ruben Solozabal · Velibor Bojkovic · Hilal AlQuabeh · Kentaro Inui · Martin Takac

Token-Level Self-Play with Importance-Aware Guidance for Large Language Models

Tue Le · Hoang Tran · Quyen Tran · Linh Ngo · Mehrtash Harandi · Trung Le

Deep Tree Tensor Networks

Chang Nie

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

Kangcong Li · Peng Ye · Chongjun Tu · Lin Zhang · Chunfeng Song · Jiamin Wu · Tao Yang · Qihao Zheng · Tao Chen

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Pengxiang Li · Shilin Yan · Jiayin Cai · Renrui Zhang · Ruichuan An · Ziyu Guo · Xiaowei Gao

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

Bingchen Zhao · Despoina Magka · Minqi Jiang · Xian Li · Roberta Raileanu · Tatiana Shavrina · Jean-Christophe Gagnon-Audet · Kelvin Niu · Shagun Sodhani · Michael Shvartsman · Andrei Lupu · Alisia Lupidi · Karen Hambardzumyan · Martin Josifoski · Edan Toledo · Thomas Foster · Lucia Cipolina Kun · Derek Dunfield · Abhishek Charnalia · Alexander Miller · Oisin Mac Aodha · Jakob Foerster · Yoram Bachrach

AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms

Raphael Boige · Amine Boumaza · Bruno Scherrer

Tight Asymptotics of Extreme Order Statistics

Matias Romero · Frederik Mallmann-Trenn · Jose Correa

Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization

Shogo Iwazaki

Optimal community detection in dense bipartite graphs

Julien Chhor · Parker Knight

Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond

Kiarash Banihashem · Jeff Giliberti · Samira Goudarzi · MohammadTaghi Hajiaghayi · Peyman Jabbarzade · Morteza Monemizadeh

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Vishnu Sarukkai · Zhiqiang Xie · Kayvon Fatahalian

Collapsing Taylor Mode Automatic Differentiation

Felix Dangel · Tim Siebert · Marius Zeinhofer · Andrea Walther

PINNs with Learnable Quadrature

Sourav Pal · Kamyar Azizzadenesheli · Vikas Singh

STree: Speculative Tree Decoding for Hybrid State Space Models

Yangchao Wu · Zongyue Qin · Alex Wong · Stefano Soatto

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning

Kongcheng Zhang · QI YAO · Shunyu Liu · Yingjie Wang · Baisheng Lai · Jieping Ye · Mingli Song · Dacheng Tao

Projective Equivariant Networks via Second-order Fundamental Differential Invariants

Yikang Li · Yeqing Qiu · Yuxuan Chen · Lingshen He · Lexiang Hu · Zhouchen Lin

Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving

Fangzhou Wu · Sandeep Silwal

Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training

Xiaochen Zhao · Chengting Yu · Kairong Yu · Lei Liu · Aili Wang

Curvature Tuning: Provable Training-free Model Steering From a Single Parameter

Leyang Hu · Matteo Gamba · Randall Balestriero

Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning

Arian Raje · Baris Askin · Divyansh Jhunjhunwala · Gauri Joshi

Improving Bilinear RNN with Closed-loop Control

Jiaxi Hu · Yongqi Pan · Jusen Du · Disen Lan · Tang · Qingsong Wen · Yuxuan Liang · Weigao Sun

Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment

DEOKJAE LEE · Hyun Oh Song

Bridging Expressivity and Scalability with Adaptive Unitary SSMs

Arjun Karuvally · Franz Nowak · Andy Keller · Carmen Amo Alonso · Terrence Sejnowski · Hava Siegelmann

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation

Wei Yang · Rui Zhong · Yiqun Chen · Chi Lu · Peng Jiang

RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation

Xingliang Wang · Zemin Liu · Junxiao Han · Shuiguang Deng

Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

Yuting Huang · Ziquan Fang · Zhihao Zeng · Lu Chen · Yunjun Gao

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

Xiaodong Wang · Zijun He · Ping Wang · Lishun Wang · Yanan Hu · Xin Yuan

Training the Untrainable: Introducing Inductive Bias via Representational Alignment

Vighnesh Subramaniam · David Mayo · Colin Conwell · Tomaso Poggio · Boris Katz · Brian Cheung · Andrei Barbu

SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference

Yi Zhao · Yajuan Peng · Nguyen Cam-Tu · Zuchao Li · Xiaoliang Wang · Hai Zhao · Xiaoming Fu

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

Marianne Arriola · Yair Schiff · Hao Phung · Aaron Gokaslan · Volodymyr Kuleshov

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive

Tyler Farghly · Peter Potaptchik · Samuel Howard · George Deligiannidis · Jakiw Pidstrigach

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning

Haolei Xu · Yuchen Yan · Yongliang Shen · Wenqi Zhang · Guiyang Hou · Shengpei Jiang · Kaitao Song · Weiming Lu · Jun Xiao · Yueting Zhuang

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Xiaomin Li · Zhou Yu · Zhiwei Zhang · Xupeng Chen · Ziji Zhang · Yingying Zhuang · Narayanan Sadagopan · Anurag Beniwal

Fast attention mechanisms: a tale of parallelism

Jingwen Liu · Hantao Yu · Clayton Sanford · Alexandr Andoni · Daniel Hsu

Efficient Large Language Model Inference with Neural Block Linearization

Mete Erdogan · Francesco Tonin · Volkan Cevher

On the Role of Hidden States of Modern Hopfield Network in Transformer

Tsubasa Masumura · Masato Taki

Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs

Wanyun Cui · Mingwei Xu

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Shuo Yang · Haocheng Xi · Yilong Zhao · Muyang Li · Jintao Zhang · Han Cai · Yujun Lin · Xiuyu Li · Chenfeng Xu · Kelly Peng · Jianfei Chen · Song Han · Kurt Keutzer · Ion Stoica

Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning

Chaofan Lin · Jiaming Tang · Shuo Yang · Hanshuo Wang · Tian Tang · Boyu Tian · Ion Stoica · Song Han · Mingyu Gao

Attention on the Sphere

Boris Bonev · Max Rietmann · Andrea Paris · Alberto Carpentieri · Thorsten Kurth

Dependency Parsing is More Parameter-Efficient with Normalization

Paolo Gajo · Domenic Rosati · Hassan Sajjad · Alberto Barrón-Cedeño

MoBA: Mixture of Block Attention for Long-Context LLMs

Enzhe Lu · Zhejun Jiang · Jingyuan Liu · Yulun Du · Tao Jiang · Chao Hong · Shaowei Liu · Weiran He · Enming Yuan · Yuzhi Wang · Zhiqi Huang · Huan Yuan · Suting Xu · Xinran Xu · Guokun Lai · Yanru Chen · Huabin Zheng · Junjie Yan · Jianlin Su · Yuxin Wu · Yutao Zhang · Zhilin Yang · Xinyu Zhou · Mingxing Zhang · Jiezhong Qiu

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Jang-Hyun Kim · Jinuk Kim · Sangwoo Kwon · Jae W. Lee · Sangdoo Yun · Hyun Oh Song

Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones

Parsa Mirtaheri · Ezra Edelman · Samy Jelassi · Eran Malach · Enric Boix-Adserà

AttentionPredictor: Temporal Patterns Matter for KV Cache Compression

Qingyue Yang · Jie Wang · Xing Li · Zhihai Wang · Chen Chen · Lei Chen · Xianzhi Yu · Wulong Liu · Jianye Hao · Mingxuan Yuan · Bin Li

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Di Liu · Meng Chen · Baotong Lu · Huiqiang Jiang · Zhenhua Han · Qianxi Zhang · Qi Chen · Chengruidong Zhang · Bailu Ding · Kai Zhang · Chen Chen · Fan Yang · Yuqing Yang · Lili Qiu

Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few

Qishuai Wen · Zhiyuan Huang · Chun-Guang Li

Multipole Attention for Efficient Long Context Reasoning

Coleman Hooper · Sebastian Zhao · Luca Manolache · Sehoon Kim · Michael Mahoney · Sophia Shao · Kurt Keutzer · Amir Gholami

Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms

Baran Hashemi · Kurt Pasque · Chris Teska · Ruriko Yoshida

Iterative Foundation Model Fine-Tuning on Multiple Rewards

Pouya M. Ghari · simone sciabola · Ye Wang

PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

Weijie Zhou · Xuantang Xiong · Yi Peng · Manli Tao · Chaoyang Zhao · Honghui Dong · Ming Tang · Jinqiao Wang

Multimodal Tabular Reasoning with Privileged Structured Information

Jun-Peng Jiang · Yu Xia · Hai-Long Sun · Shiyin Lu · Qingguo Chen · Weihua Luo · Kaifu Zhang · De-Chuan Zhan · Han-Jia Ye

Lookahead Routing for Large Language Models

Canbin Huang · Tianyuan Shi · Yuhua Zhu · Ruijun Chen · Xiaojun Quan

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss

Pau Rodriguez · Michal Klein · Eleonora Gualdoni · Valentino Maiorca · Arno Blaas · Luca Zappella · Marco Cuturi · Xavier Suau

Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion

Vinh Tong · Trung-Dung Hoang · Anji Liu · Guy Van den Broeck · Mathias Niepert

Adaptive Discretization for Consistency Models

Jiayu Bai · Zhanbo Feng · Zhijie Deng · TianQi Hou · Robert Qiu · Zenan Ling

Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations

Marton Havasi · Brian Karrer · Itai Gat · Ricky T. Q. Chen

Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback

Yi-Lun Wu · Bo-Kai Ruan · Chiang Tseng · Hong-Han Shuai

What Matters in Data for DPO?

Yu Pan · Zhongze Cai · Huaiyang Zhong · Guanting Chen · Chonghuan Wang

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

Yifei Liu · Li Lyna Zhang · Yi Zhu · Bingcheng Dong · Xudong Zhou · Ning Shang · Fan Yang · Cheng Li · Mao Yang

Flow Matching Neural Processes

Hussen Abu Hamad · Dan Rosenbaum

Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling

Shayan Mohajer Hamidi · Ben Liang · EN-HUI YANG

Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models

Ilgee Hong · Changlong Yu · Liang Qiu · Weixiang Yan · Zhenghao Xu · Haoming Jiang · Qingru Zhang · Qin Lu · Xin Liu · Chao Zhang · Tuo Zhao

Towards Understanding the Mechanisms of Classifier-Free Guidance

Xiang Li · Rongrong Wang · Qing Qu

Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context

Yijia Dai · Zhaolin Gao · Yahya Sattar · Sarah Dean · Jennifer Sun

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

Jie Ma · NING QU · Zhitao Gao · Xing Rui · Jun Liu · Hongbin Pei · Jiang Xie · Lingyun Song · Pinghui Wang · Jing Tao · su zhou

Restoring Pruned Large Language Models via Lost Component Compensation

Zijian Feng · Hanzhang Zhou · Zixiao Zhu · Tianjiao Li · Chua Deryl · Lee Onn Mak · Gee Ng · Kezhi Mao

Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization

Amin Heyrani Nobari · Lyle Regenwetter · Cyril Picard · Ligong Han · Faez Ahmed

SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning

Yuyang Ding · Xinyu Shi · Juntao Li · Xiaobo Liang · Zhaopeng Tu · Min Zhang

On Universality Classes of Equivariant Networks

Marco Pacini · Gabriele Santin · Bruno Lepri · Shubhendu Trivedi

Learning (Approximately) Equivariant Networks via Constrained Optimization

Andrei Manolache · Luiz Chamon · Mathias Niepert

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

Alvaro Arroyo · Alessio Gravina · Benjamin Gutteridge · Federico Barbero · Claudio Gallicchio · Xiaowen Dong · Michael Bronstein · Pierre Vandergheynst

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs

Sonia Mazelet · Rémi Flamary · Bertrand Thirion

Over-squashing in Spatiotemporal Graph Neural Networks

Ivan Marisca · Jacob Bamberger · Cesare Alippi · Michael Bronstein

Contextual Tokenization for Graph Inverted Indices

Pritish Chakraborty · Indradyumna Roy · Soumen Chakrabarti · Abir De

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN

Wei Huang · Hanchen Wang · Dong Wen · SHAOZHEN MA · Wenjie Zhang · Xuemin Lin

Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum

Snir Hordan · Maya Bechler-Speicher · Gur Lifshitz · Nadav Dym

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models

Shristi Das Biswas · Arani Roy · Kaushik Roy

CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections

Keuntae Kim · Eunhye Jeong · Sehyeon Lee · Seohee Yoon · Yong Suk Choi

CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning

Yinjie Wang · Ling Yang · Ye Tian · Ke Shen · Mengdi Wang

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval

Junchen Li · Rongzheng Wang · Yihong Huang · Qizhi Chen · Jiasheng Zhang · Shuang Liang

Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector

Haoyan Yang · Runxue Bao · Cao (Danica) Xiao · Jun Ma · Parminder Bhatia · Shangqian Gao · Taha Kass-Hout

EVODiff: Entropy-aware Variance Optimized Diffusion Inference

Shigui Li · Wei Chen · Delu Zeng

Color Conditional Generation with Sliced Wasserstein Guidance

Alexander Lobashev · Maria Larchenko · Dmitry Guskov

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking

Chen-Hao (Lance) Chao · Wei-Fang Sun · Hanwen Liang · Chun-Yi Lee · Rahul Krishnan

AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees

Yangning Li · Shaoshen Chen · Yinghui Li · Yankai Chen · Hai-Tao Zheng · Hui Wang · Wenhao Jiang · Philip S Yu

un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP

Yinqi Li · Jiahe Zhao · Hong Chang · RuiBing Hou · Shiguang Shan · Xilin Chen

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Qingyang Zhang · Haitao Wu · Changqing Zhang · Peilin Zhao · Yatao Bian

Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning

Feng Chen · Allan Raventós · Nan Cheng · Surya Ganguli · Shaul Druckmann

Bridging Theory and Practice in Link Representation with Graph Neural Networks

Veronica Lachi · Francesco Ferrini · Antonio Longa · Bruno Lepri · Andrea Passerini · Manfred Jaeger

GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability

Burouj Armgaan · Eshan Jain · Harsh Pandey · Mahesh Chandran · Sayan Ranu

Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Lei Liu · Xingyu Xia · Qianqian Xie · Ben Liu · Wenjie Xu · Min Peng

On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model

Alexander Pluska · Sagar Malhotra

Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings

Raphaël Pellegrin · Lukas Fesser · Melanie Weber

Graph Persistence goes Spectral

Mattie Ji · Amauri Souza · Vikas Garg

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Xiang Li · Yong Tao · Siyuan Zhang · Siwei Liu · Zhitong Xiong · Chunbo Luo · Lu Liu · Mykola Pechenizkiy · Xiaoxiang Zhu · Tianjin Huang

H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition

Lukas Miklautz · Chengzhi Shi · Andrii Shkabrii · Theodoros Thirimachos Davarakis · Prudence Lam · Claudia Plant · Jennifer Dy · Stratis Ioannidis

Learning Robust Vision-Language Models from Natural Latent Spaces

Zhangyun Wang · Ni Ding · Aniket Mahanti

Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths

Jindi Lv · Yuhao Zhou · Mingjia Shi · Zhiyuan Liang · Panpan Zhang · Xiaojiang Peng · Wangbo Zhao · Zheng Zhu · Jiancheng Lv · Qing Ye · Kai Wang

Preference Learning with Response Time: Robust Losses and Guarantees

Ayush Sawarni · Sahasrajit Sarmasarkar · Vasilis Syrgkanis

Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization

Jinyong Jeong · Hyungu Kahng · Seoung Bum Kim

Compositional Neural Network Verification via Assume-Guarantee Reasoning

Hai Duong · David Shriver · ThanhVu Nguyen · Matthew Dwyer

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains

Guillaume Vray · Devavrat Tomar · Xufeng Gao · Jean-Philippe Thiran · Evan Shelhamer · Behzad Bozorgtabar

Vulnerable Data-Aware Adversarial Training

Yuqi Feng · Jiahao Fan · Yanan Sun

Analog Foundation Models

Julian Büchel · Iason Chalas · Giovanni Acampa · An Chen · Omobayode Fagbohungbe · Hsinyu Tsai · Kaoutar El Maghraoui · Manuel Le Gallo · Abbas Rahimi · Abu Sebastian

Dropout Regularization Versus l2-Penalization in the Linear Model

Gabriel Clara · Sophie Langer · Johannes Schmidt-Hieber

Understanding the Gain from Data Filtering in Multimodal Contrastive Learning

Divyansh Pareek · Sewoong Oh · Simon Du

Embedding Principle of Homogeneous Neural Network for Classification Problem

Jiahan Zhang · Yaoyu Zhang · Tao Luo

The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets

Yatin Dandi · Luca Pesce · Lenka Zdeborová · Florent Krzakala

T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks

Jiayang Liu · Siyuan Liang · Shiqian Zhao · Rong-Cheng Tu · Wenbo Zhou · Aishan Liu · Dacheng Tao · Siew Kei Lam

Hankel Singular Value Regularization for Highly Compressible State Space Models

Paul Schwerdtner · Jules Berman · Benjamin Peherstorfer

Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics

Sungwoo Park

Hyperbolic Fine-Tuning for Large Language Models

Menglin Yang · Ram Samarth B B · Aosong Feng · Bo Xiong · Jiahong Liu · Irwin King · Rex Ying

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models

Jiachen Jiang · Jinxin Zhou · Bo Peng · Xia Ning · Zhihui Zhu

Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency

Kelvin Kan · Xingjian Li · Benjamin Zhang · Tuhin Sahai · Stanley Osher · Markos Katsoulakis

Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling

Mónika Farsang · Radu Grosu

Better Training Data Attribution via Better Inverse Hessian-Vector Products

Andrew Wang · Elisa Nguyen · Runshi Yang · Juhan Bae · Sheila McIlraith · Roger Grosse

AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping

Haonan Dong · Wenhao Zhu · Guojie Song · Liang Wang

Attention with Trained Embeddings Provably Selects Important Tokens

Diyuan Wu · Aleksandr Shevchenko · Samet Oymak · Marco Mondelli

Approximation theory for 1-Lipschitz ResNets

Davide Murari · Takashi Furuya · Carola-Bibiane Schönlieb

A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation

Etienne Boursier · Scott Pesme · Radu-Alexandru Dragomir

Metric Automata Theory: A Unifying Theory of RNNs

Adam Dankowiakowski · Alessandro Ronca

Beyond Benign Overfitting in Nadaraya-Watson Interpolators

Daniel Barzilai · Guy Kornowski · Ohad Shamir

Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis

Yunwei Ren · Jason Lee

Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More

Jinwoo Lim · Suhyun Kim · Soo-Mook Moon

On Linear Mode Connectivity of Mixture-of-Experts Architectures

Viet-Hoang Tran · Van Hoan Trinh · Khanh-Vinh Bui · Tan Nguyen

Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning

Liu Ziyin · Yizhou Xu · Isaac Chuang

The Computational Complexity of Counting Linear Regions in ReLU Neural Networks

Moritz Stargalla · Christoph Hertrich · Daniel Reichman

Generalized Linear Mode Connectivity for Transformers

Alexander Theus · Alessandro Cabodi · Sotiris Anagnostidis · Antonio Orvieto · Sidak Pal Singh · Valentina Boeva

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models

Jiaqi Wang · Kevin Qinghong Lin · James Cheng · Mike Zheng Shou

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

Guy Bar-Shalom · Fabrizio Frasca · Yaniv Galron · Yftah Ziser · Haggai Maron

DISCO: Disentangled Communication Steering for Large Language Models

Max Torop · Aria Masoomi · Masih Eskandar · Jennifer Dy

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics

Indrashis Das · Mahmoud Safari · Steven Adriaensen · Frank Hutter

Uni-LoRA: One Vector is All You Need

Kaiyang Li · Shaobo Han · Qing Su · Wei Li · Zhipeng Cai · Shihao Ji

Value-Guided KV Compression for LLMs via Approximated CUR Decomposition

Ayan Sengupta · Siddhant Chaudhary · Tanmoy Chakraborty

Robust Hyperbolic Learning with Curvature-Aware Optimization

Ahmad Bdeir · Johannes Burchert · Lars Schmidt-Thieme · Niels Landwehr

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers

Zhengliang Shi · Lingyong Yan · Dawei Yin · Suzan Verberne · Maarten Rijke · Zhaochun Ren

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

Chaochen Gao · Xing W · Zijia Lin · Debing Zhang · Songlin Hu

Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

Yiju Guo · Wenkai Yang · Zexu Sun · Ning Ding · Zhiyuan Liu · Yankai Lin

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding

Yunhai Hu · Tianhua Xia · Zining Liu · Rahul Raman · Xingyu Liu · BO BAO · Eric Sather · Vithursan Thangarasa · Sai Qian Zhang

Introducing FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark

Zhangdie Yuan · Zifeng Ding · Andreas Vlachos

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions

Xue zhucun · Jiangning Zhang · Teng Hu · Haoyang He · Yinan Chen · Yuxuan Cai · Yabiao Wang · Chengjie Wang · Yong Liu · Xiangtai Li · Dacheng Tao

LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model

Xiangkun Wang · Kejiang Chen · Lincong Li · Weiming Zhang · Nenghai Yu

One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting

Haipeng Liu · Yang Wang · Meng Wang

ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis

Chuang Wang · Haitao Zhou · Ling Luo · Qian Yu

Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization

Cong Wang · Zexuan Deng · Zhiwei Jiang · Yafeng Yin · Fei Shen · Zifeng Cheng · Shiping Ge · Shiwei Gan · Qing Gu

InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems

Noam Elata · Hyungjin Chung · Jong Chul Ye · Tomer Michaeli · Miki Elad

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers

Ahmet Berke Gökmen · Yiğit Ekin · Bahri Batuhan Bilecen · Aysegul Dundar

OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers

Ziqiao Peng · Jiwen Liu · Haoxian Zhang · Xiaoqiang Liu · Songlin Tang · Pengfei Wan · Di ZHANG · Hongyan Liu · Jun He

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

Hossein Askari · Yadan Luo · Hongfu Sun · Fred Roosta

Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling

Ruoyu Wang · Beier Zhu · Junzhi Li · Liangyu Yuan · Chi Zhang

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Jules Sintes · Ana Busic

Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees

Chenguang Duan · Yuling Jiao · Huazhen Lin · Wensen Ma · Jerry Yang

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics

Lorenzo Magnino · Kai Shao · Zida Wu · Jiacheng Shen · Mathieu Lauriere

Evaluating LLMs in Open-Source Games

Swadesh Sistla · Max Kleiman-Weiner

Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making

Larkin Liu · Jalal Etesami

Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems

Utkarsh Chavan · Prashant Trivedi · Nandyala Hemachandra

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Daoguang Zan · Zhirong Huang · Wei Liu · Hanwu Chen · Shulin Xin · Linhao Zhang · Qi Liu · Li Aoyan · Lu Chen · Xiaojian Zhong · Siyao Liu · Yongsheng Xiao · Liangqiang Chen · Yuyu Zhang · Jing Su · Tianyu Liu · RUI LONG · Ming Ding · liang xiang

Gymnasium: A Standard Interface for Reinforcement Learning Environments

Mark Towers · Ariel Kwiatkowski · John Balis · Gianluca De Cola · Tristan Deleu · Manuel Goulão · Kallinteris Andreas · Markus Krimmel · Arjun KG · Rodrigo Perez-Vicente · J Terry · Andrea Pierré · Sander Schulhoff · Jun Jet Tai · Hannah Tan · Omar G. Younis

MTRec: Learning to Align with User Preferences via Mental Reward Models

Mengchen Zhao · Yifan Gao · Yaqing Hou · Xiangyang Li · Pengjie Gu · Zhenhua Dong · Ruiming Tang · Yi Cai

VORTA: Efficient Video Diffusion via Routing Sparse Attention

Wenhao Sun · Rong-Cheng Tu · Yifu Ding · Jingyi Liao · Zhao Jin · Shunyu Liu · Dacheng Tao

GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing

Rongyao Fang · Chengqi Duan · Kun Wang · Linjiang Huang · Hao Li · Hao Tian · Shilin Yan · Weihao Yu · Xingyu Zeng · Jifeng Dai · Xihui Liu · Hongsheng Li

Free-Lunch Color-Texture Disentanglement for Stylized Image Generation

Jiang Qin · Alexandra Gomez-Villa · Senmao Li · Shiqi Yang · Yaxing Wang · Kai Wang · Joost van de Weijer

Learning Diffusion Models with Flexible Representation Guidance

Chenyu Wang · Cai Zhou · Sharut Gupta · Johnson Lin · Stefanie Jegelka · Stephen Bates · Tommi Jaakkola

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xiaoyu Yue · ZiDong Wang · Yuqing Wang · Wenlong Zhang · Xihui Liu · Wanli Ouyang · LEI BAI · Luping Zhou

FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction

Jiang Lin · Xinyu Chen · Song Wu · Zhiqiu Zhang · Jizhi Zhang · Ye Wang · Qiang Tang · Qian Wang · Jian Yang · Zili Yi

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models

Wenda Li · Huijie Zhang · Qing Qu

X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability

Yu Yang · Alan Liang · Jianbiao Mei · Yukai Ma · Yong Liu · Gim Hee Lee

Controllable Human-centric Keyframe Interpolation with Generative Prior

Zujin Guo · Size Wu · Zhongang Cai · Wei Li · Chen Change Loy

Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement

Derong Kong · Zhixiong Yang · Shengxi Li · Shuaifeng Zhi · Li Liu · Zhen Liu · Jingyuan Xia

A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation

Yang Peng · Kaicheng Jin · Liangyu Zhang · Zhihua Zhang

WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting

Kaitao Huang · Yan Yan · Jing-Hao Xue · Hanzi Wang

Robust Label Proportions Learning

Jueyu Chen · Wantao Wen · Yeqiang Wang · Erliang Lin · Yemin Wang · Yuheng Jia

Automaton Constrained Q-Learning

Anastasios Manganaris · Vittorio Giammarino · Ahmed Qureshi

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization

Fengshuo Bai · Rui Zhao · Hongming Zhang · Sijia Cui · Shao Zhang · bo xu · Lei Han · Ying Wen · Yaodong Yang

A Closed-Form Solution for Fast and Reliable Adaptive Testing

Yan Zhuang · Chenye Ke · Zirui Liu · Qi Liu · Yuting Ning · Zhenya Huang · Weizhe Huang · Qingyang Mao · Shijin Wang

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Yiping Wang · Qing Yang · Zhiyuan Zeng · Liliang Ren · Liyuan Liu · Baolin Peng · Hao Cheng · Xuehai He · Kuan Wang · Jianfeng Gao · Weizhu Chen · Shuohang Wang · Simon Du · yelong shen

Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data

Andrew Li · Toryn Klassen · Andrew Wang · Parand A. Alamdari · Sheila McIlraith

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Chen Chen · Pengsheng Guo · Liangchen Song · Jiasen Lu · Rui Qian · Tsu-Jui Fu · Xinze Wang · Wei Liu · Yinfei Yang · Alex Schwing

Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration

Jingjun Yi · Qi Bi · Hao Zheng · Huimin Huang · Yixian Shen · Haolan Zhan · Wei Ji · Yawen Huang · Yuexiang Li · Xian Wu · Yefeng Zheng

HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis

Mirela Ostrek · Michael Black · Justus Thies

DisMo: Disentangled Motion Representations for Open-World Motion Transfer

Thomas Ressler-Antal · Frank Fundel · Malek Ben Alaya · Stefan Andreas Baumann · Felix Krause · Ming Gui · Björn Ommer

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Jingyuan Qi · Zhiyang Xu · Qifan Wang · Lifu Huangg

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Ruihang Chu · Yefei He · Zhekai Chen · Shiwei Zhang · Xiaogang Xu · bin xia · Dingdong WANG · Hongwei Yi · Xihui Liu · Hengshuang Zhao · Yu Liu · Yingya Zhang · Yujiu Yang

VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences

Siqi Wan · Jingwen Chen · Qi Cai · Yingwei Pan · Ting Yao · Tao Mei

Frame In-N-Out: Unbounded Controllable Image-to-Video Generation

Boyang Wang · Xuweiyi Chen · Matheus Gadelha · Zezhou Cheng

Flow-GRPO: Training Flow Matching Models via Online RL

Jie Liu · Gongye Liu · Jiajun Liang · Yangguang Li · Jiaheng Liu · Xintao Wang · Pengfei Wan · Di ZHANG · Wanli Ouyang

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

Zihan Su · Xuerui Qiu · Hongbin Xu Xu · Tangyu Jiang · Jun-hao Zhuang · Chun Yuan · Ming Li · Shengfeng He · Fei Yu

Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

Yao Teng · Fu-Yun Wang · Xian Liu · Zhekai Chen · Han Shi · Yu Wang · Zhenguo Li · Weiyang Liu · Difan Zou · Xihui Liu

DreamLight: Towards Harmonious and Consistent Image Relighting

Yong Liu · Wenpeng Xiao · Qianqian Wang · Junlin Chen · Shiyin Wang · Yitong Wang · Xinglong Wu · Yansong Tang

Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders

Federico Vasile · Ri-Zhao Qiu · Lorenzo Natale · Xiaolong Wang

U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching

Junsheng Zhou · XingYu Shi · Haichuan Song · Yi Fang · Yu-Shen Liu · Zhizhong Han

Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos

Kaihua Chen · Tarasha Khurana · Deva Ramanan

OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization

Yixuan Yang · Zhen Luo · Tongsheng Ding · Junru Lu · Mingqi Gao · Jinyu Yang · Victor Sanchez · Feng Zheng

1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering

Yuheng Yuan · Qiuhong Shen · Xingyi Yang · Xinchao Wang

TAPIP3D: Tracking Any Point in Persistent 3D Geometry

Bowei Zhang · Lei Ke · Adam Harley · Katerina Fragkiadaki

Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives

Zhemeng Dong · Junjun Jiang · Youyu Chen · Jiaxin Zhang · Kui Jiang · Xianming Liu

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguang WU · Jiangxin Dong · Chengjian Li · Jinhui Tang

Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding

Dekai Zhu · Yixuan Hu · Youquan Liu · Dongyue Lu · Lingdong Kong · Slobodan Ilic

4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming

Zihan Zheng · Zhenlong Wu · Houqiang Zhong · Yuan Tian · Ning Cao · Lan Xu · Jiangchao Yao · Xiaoyun Zhang · Qiang Hu · Wenjun Zhang

GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer

Sayan Deb Sarkar · Sinisa Stekovic · Vincent Lepetit · Iro Armeni

MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference

Wenyuan Zhang · Jimin Tang · Weiqi Zhang · Yi Fang · Yu-Shen Liu · Zhizhong Han

Optimized Minimal 3D Gaussian Splatting

Joo Chan Lee · Jong Hwan Ko · Eunbyung Park

GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis

Kang Yang · Gaofeng Dong · Sijie Ji · Wan Du · Mani Srivastava

MVSMamba: Multi-View Stereo with State Space Model

Jianfei Jiang · Qiankun Liu · Hongyuan Liu · Haochen Yu · Liyong Wang · Jiansheng Chen · Huimin Ma

EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis

Yancheng Zhang · Guangyu Sun · Chen Chen

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Ruicheng Wang · Sicheng Xu · Yue Dong · Yu Deng · Jianfeng Xiang · Zelong Lv · Guangzhong Sun · Xin Tong · Jiaolong Yang

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Jonas Kulhanek · Torsten Sattler

HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild

Valentin Bieri · Marie-Julie Rakotosaona · Keisuke Tateno · Francis Engelmann · Leonidas Guibas

InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts

Weipeng Zhong · Peizhou Cao · Yichen Jin · Luo Li · Wenzhe Cai · Jingli Lin · Hanqing Wang · Zhaoyang Lyu · Tai WANG · Xudong XU · Bo Dai · Jiangmiao Pang

SAP: Exact Sorting in Splatting via Screen-Aligned Primitives

Zhanke Wang · Zhiyan Wang · Kaiqiang Xiong · Wu Jiahao · Yang Deng · Ronggang Wang

ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs

Michal Nazarczuk · Sibi Catley-Chandar · Thomas Tanay · Zhensong Zhang · Greg Slabaugh · Eduardo Pérez-Pellitero

Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance

meng wang · Fan Wu · Ruihui Li · Qin Yunchuan · Zhuo Tang · Li Ken Li

Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence

Octave Mariotti · Zhipeng Du · Yash Bhalgat · Oisin Mac Aodha · Hakan Bilen

Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training

Xiaoyang Xiao · Runzhao Yao · Zhiqiang Tian · Shaoyi Du

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning

Jian Liu · Jing Xu · Song Guo · Jing Li · jingfeng Guo · Jiaao Yu · Haohan Weng · Biwen Lei · Xianghui Yang · Zhuo Chen · Fangqi Zhu · Tao Han · Chunchao Guo

Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting

Hyeongmin Lee · Kyungjune Baek

PLD: A Choice-Theoretic List-Wise Knowledge Distillation

Ejafa Bassam · Dawei Zhu · Kaigui Bian

MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding

Fujun Han · Peng Ye

RGB-to-Polarization Estimation: A New Task and Benchmark Study

Beibei Lin · Zifeng Yuan · Tingting Chen

FlySearch: Exploring how vision-language models explore

Adam Pardyl · Dominik Matuszek · Mateusz Przebieracz · Marek Cygan · Bartosz Zieliński · Maciej Wolczyk

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Hanlei Zhang · zhuohang li · Hua Xu · Yeshuang Zhu · Peiwu Wang · Haige Zhu · Jie Zhou · Jinchao Zhang

RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video

ShuHang Xun · Sicheng Tao · Jungang Li · Yibo Shi · Zhixin Lin · Zhanhui Zhu · Yibo Yan · Hanqian Li · LingHao Zhang · Shikang Wang · Yixin Liu · Hanbo Zhang · Ying Ma · Xuming Hu

THUNDER: Tile-level Histopathology image UNDERstanding benchmark

Pierre Marza · Leo Fillioux · Sofiène Boutaj · KUNAL MAHATHA · Christian Desrosiers · Pablo Piantanida · Jose Dolz · Stergios Christodoulidis · Maria Vakalopoulou

Two Causally Related Needles in a Video Haystack

Miaoyu Li · Qin Chao · Boyang Li

RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events

Zhenyuan Chen · Chenxi Wang · Ningyu Zhang · Feng Zhang

VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models

Haidong Xu · Guangwei Xu · Zhedong Zheng · Xiatian Zhu · Wei Ji · Xiangtai Li · Ruijie Guo · Meishan Zhang · Min Zhang · Hao Fei

Grounded Reinforcement Learning for Visual Reasoning

Gabriel Sarch · Snigdha Saha · Naitik Khandelwal · Ayush Jain · Michael Tarr · Aviral Kumar · Katerina Fragkiadaki

DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO

Jinyoung Park · Jeehye Na · Jinyoung Kim · Hyunwoo J. Kim

FastVID: Dynamic Density Pruning for Fast Video Large Language Models

Leqi Shen · Guoqiang Gong · Tao He · Yifeng Zhang · Pengzhang Liu · Sicheng Zhao · guiguang ding

NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data

Azadeh Motamedi · Jae-Mo Kang · Il-Min Kim

HMVLM:Human Motion-Vision-Language Model via MoE LoRA

Lei Hu · Yongjing Ye · Shihong Xia

Universal Video Temporal Grounding with Generative Multi-modal Large Language Models

Zeqian Li · Shangzhe Di · Zhonghua Zhai · Weilin Huang · Yanfeng Wang · Weidi Xie

Conditional Representation Learning for Customized Tasks

Honglin Liu · Chao Sun · Peng Hu · Yunfan Li · Xi Peng

VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought

Chaoya Jiang · Yongrui Heng · Wei Ye · Haiyang Xu · Ming Yan · Ji Zhang · Fei Huang · Shikun Zhang

FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts

Weihao Bo · Yanpeng Sun · Yu Wang · Xinyu Zhang · Zechao Li

DOVTrack: Data-Efficient Open-Vocabulary Tracking

Zekun Qian · Ruize Han · Zhixiang Wang · Junhui Hou · Wei Feng

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks

Sanjoy Chowdhury · Mohamed Elmoghany · Yohan Abeysinghe · Junjie Fei · Sayan Nag · Salman Khan · Mohamed Elhoseiny · Dinesh Manocha

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models

Xiwen Wei · Mustafa Munir · Radu Marculescu

Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation

Junren Chen · Rui Chen · Wei Wang · Junlong Cheng · Gang Liang · zhanglei-scu · Liangyin Chen

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang · Ruoceng Zhang · Pei Fu · Shaokang Wang · Jiahui Yang · Xin Du · ShiqiCui · Bin Qin · Ying Huang · Zhenbo Luo · Jian Luan

Discovering Compositional Hallucinations in LVLMs

Sibei Yang · Ge Zheng · Jiajin Tang · Jiaye Qian · Hanzhuo Huang · Cheng Shi

The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation

Haoyu Wang · Wei Dai · Jiawei Zhang · Jialun Ma · Mingyi Huang · Yuguo Yu

StreamForest: Efficient Online Video Understanding with Persistent Event Memory

Xiangyu Zeng · Kefan Qiu · Qingyu Zhang · Xinhao Li · Jing Wang · Jiaxin Li · Ziang Yan · Kun Tian · Meng Tian · Xinhai Zhao · Yi Wang · Limin Wang

Instance-Level Composed Image Retrieval

Bill Psomas · George Retsinas · Nikos Efthymiadis · Panagiotis Filntisis · Yannis Avrithis · Petros Maragos · Ondrej Chum · Giorgos Tolias

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Chao Huang · Benfeng Wang · Wei Wang · Jie Wen · Chengliang Liu · Li Shen · Xiaochun Cao

Personalized Visual Content Generation in Conversational Systems

Xianquan Wang · Zhaocheng Du · Huibo Xu · Shukang Yin · Yupeng Han · Jieming Zhu · Kai Zhang · Qi Liu

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation

Ruiqi Wang · Hao Zhang

DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution

Rongyuan Wu · Lingchen Sun · Zhengqiang ZHANG · Shihao Wang · Tianhe Wu · Qiaosi Yi · Shuai Li · Lei Zhang

VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking

Kichang Yang · Seonjun Kim · Minjae Kim · Nairan Zhang · Chi Zhang · Youngki Lee

Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization

Yanhao Jia · Ji Xie · S Jivaganesh · Li Hao · Xu Wu · Mengmi Zhang

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion

Qing-Yuan Jiang · Longfei Huang · Yang Yang

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding

Jian Hu · Zixu Cheng · Shaogang Gong · Isabel Guan · Jianye Hao · Jun Wang · Kun Shao

Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion

Lei Cao · Hao Zhang · Chunyu Li · Jiayi Ma

Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning

Yibin Wang · li zhimin · Yuhang Zang · Chunyu Wang · Qinglin Lu · Cheng Jin · Jiaqi Wang

CAT: Content-Adaptive Image Tokenization

Junhong Shen · Kushal Tirumala · Michihiro Yasunaga · Ishan Misra · Luke Zettlemoyer · LILI YU · Chunting Zhou

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

Lin Zhu · Yifeng Yang · Xinbing Wang · Qinying Gu · Nanyang Ye

STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking

Xuewei Bai · Yongcai Wang · Deying Li · Haodi Ping · LI Chunxu

Availability-aware Sensor Fusion via Unified Canonical Space

Dong-Hee Paek · SEUNG-HYUN KONG

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration

Hebaixu Wang · Jing Zhang · Haonan Guo · Di Wang · Jiayi Ma · Bo Du

Training-free Online Video Step Grounding

Luca Zanella · Massimiliano Mancini · Yiming Wang · Alessio Tonioni · Elisa Ricci

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models

Thanh-Dat Truong · Huu-Thien Tran · Tran Son · Bhiksha Raj · Khoa Luu

MokA: Multimodal Low-Rank Adaptation for MLLMs

Yake Wei · Yu Miao · Dongzhan Zhou · Di Hu

Automated Model Discovery via Multi-modal & Multi-step Pipeline

Lee Jung-Mok · Nam Hyeon-Woo · Moon Ye-Bin · Junhyun Nam · Tae-Hyun Oh

REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders

Savya Khosla · Sethuraman T V · Barnett Lee · Alex Schwing · Derek Hoiem

Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval

Constantin Venhoff · Ashkan Khakzar · Sonia Joseph · Philip Torr · Neel Nanda

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu · Hanhui Wang · Yiming Xie · Jing Gu · Tianye Ding · Jianwei Yang · Huaizu Jiang

QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models

Yutong Wang · Haiyu Wang · Sai Qian Zhang

VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank

Tianhe Wu · Jian Zou · Jie Liang · Lei Zhang · Kede Ma

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

Tianyi Bai · Yuxuan Fan · Qiu Jiantao · Fupeng Sun · Jiayi Song · Junlin Han · Zichen Liu · Conghui He · Wentao Zhang · Binhang Yuan

Long-Tailed Recognition via Information-Preservable Two-Stage Learning

Fudong Lin · Xu Yuan

State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding

Jiahuan Zhou · Kai Zhu · Zhenyu Cui · Zichen Liu · Xu Zou · Gang Hua

Reading Recognition in the Wild

Charig Yang · Samiul Alam · Shakhrul Iman Siam · Michael Proulx · Lambert Mathias · Kiran Somasundaram · Luis Pesqueira · James Fort · Sheroze Sheriffdeen · Omkar Parkhi · Yuheng Ren · Mi Zhang · Yuning Chai · Richard Newcombe · Hyo Jin Kim

T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints

Thomas Eiter · Katsumi Inoue · Nelson Higuera · Sota Moriyama

LabelAny3D: Label Any Object 3D in the Wild

Jin Yao · Radowan Mahmud Redoy · Sebastian Elbaum · Matthew Dwyer · Zezhou Cheng

Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery

Jizhou Han · Shaokun Wang · Yuhang He · Chenhao Ding · Qiang Wang · Xinyuan Gao · SongLin Dong · Yihong Gong

Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset

Jiahao Wu · Ming Hu · Yanxin Yang · Xiaofei Xie · ZeKai Chen · Chenyu Song · Mingsong Chen

AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding

Xue zhucun · Jiangning Zhang · Xie Xurong · Yuxuan Cai · Yong Liu · Xiangtai Li · Dacheng Tao

MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection

Lin Yuan · Xiaowan Li · Yan Zhang · Jiawei Zhang · Hongbo Li · Xinbo Gao

Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models

Fenil Doshi · Thomas Fel · Talia Konkle · George Alvarez

Is This Tracker On? A Benchmark Protocol for Dynamic Tracking

Ilona Demler · Saumya Chauhan · Georgia Gkioxari

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

Lijun Sheng · Jian Liang · Ran He · Zilei Wang · Tieniu Tan

FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning

Lu Zhang · Jiazuo Yu · Haomiao Xiong · Ping Hu · Yunzhi Zhuge · Huchuan Lu · You He

Cyclic Counterfactuals under Shift–Scale Interventions

Saptarshi Saha · Dhruv Rathore · Utpal Garain

Robust Ego-Exo Correspondence with Long-Term Memory

Yijun Hu · Bing Fan · Xin Gu · 海青任 · Dongfang Liu · Heng Fan · Libo Zhang

Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Anupam Pani · Yanchao Yang

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective

Wangkai Li · Rui Sun · Zhaoyang Li · Tianzhu Zhang

ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding

Jialiang Kang · Han Shu · Wenshuo Li · Yingjie Zhai · Xinghao Chen

EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction

Hsi-Che Lin · Yu-Chu Yu · Kai-Po Chang · Frank Wang

LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation

Yang Miao · Jan-Nico Zaech · Xi Wang · Fabien Despinoy · Danda Pani Paudel · Luc V Gool

Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks

Florian A. Hölzl · Daniel Rueckert · Georgios Kaissis

CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors

Mingyuan Li · Tong Jia · Hao Wang · Bowen Ma · Luhui · Shiyi Guo · Da Cai · Dongyue Chen

A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation

Hao-Ran Yang · Xiaohui Chen · Chuan-Xian Ren

Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer

Junjie Chen · Zeyu Luo · Zezheng Liu · Wenhui Jiang · Li Niu · Yuming Fang

An Effective Levelling Paradigm for Unlabeled Scenarios

Fangming Cui · Zhou Yu · Di Yang · Yuqiang Ren · Liang Xiao · Xinmei Tian

Noise Matters: Optimizing Matching Noise for Diffusion Classifiers

Yanghao Wang · Long Chen

Salient Concept-Aware Generative Data Augmentation

Tianchen Zhao · Xuanbai Chen · Zhihua Li · Jun Fang · DONGSHENG An · Xiang Xu · Zhuowen Tu · Yifan Xing

The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization

Yihua Zhang · Changsheng Wang · Yiwei Chen · Chongyu Fan · Jinghan Jia · Sijia Liu

Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists

Bojia Zi · Penghui Ruan · Marco Chen · Xianbiao Qi · Shaozhe Hao · Shihao Zhao · Youze Huang · Bin Liang · Rong Xiao · Kam-Fai Wong

Seeing the Wind from a Falling Leaf

Zhiyuan Gao · Jiageng Mao · Hong-Xing "Koven" Yu · HAOZHE LOU · Emily Jia · Jernej Barbic · Jiajun Wu · Yue Wang

Dynamic Semantic-Aware Correlation Modeling for UAV Tracking

Xinyu Zhou · Tongxin Pan · Lingyi Hong · Pinxue Guo · HaiJing Guo · Zhaoyu Chen · Kaixun Jiang · Wenqiang Zhang

RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection

Xin Tong · Baojie Tian · Yufei Guo · Zhe Ma

Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search

Yimin Jiang · Huibing Wang · Jinjia peng

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao · Tianxin Huang · Yu Zhu · Jinqiu Sun · Yanning Zhang · Gim Hee Lee

FastJAM: a Fast Joint Alignment Model for Images

Omri Hirsch · Ron Shapira Weber · Shira Ifergane · Oren Freifeld

Rethinking Nighttime Image Deraining via Learnable Color Space Transformation

Qiyuan Guan · Xiang Chen · Guiyue Jin · Jiyu Jin · Shumin Fan · Tianyu Song · Jinshan Pan

PointTruss: K-Truss for Point Cloud Registration

Yue Wu · Jun Jiang · Yongzhe Yuan · Maoguo Gong · Qiguang Miao · Hao Li · Mingyang Zhang · wenping ma

PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space

Jinghong Zheng · Changlong Jiang · Yang Xiao · Jiaqi Li · Haohong Kuang · Hang Xu · Ran Wang · Zhiguo Cao · Min Du · Joey Tianyi Zhou

ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation

Zidong Cao · Jinjing Zhu · Hao Ai · Lutao Jiang · Yuanhuiyi Lyu · Hui Xiong

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen · Quan Liu · Jiayin Xu · Wenhan Yang

Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles

Peng Wang · Xiang Liu · Peidong Liu

HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video

Hongchi Xia · Chih-Hao Lin · Hao-Yu Hsu · Quentin Leboutet · Katelyn Gao · Michael Paulitsch · Benjamin Ummenhofer · Shenlong Wang

More effort is needed to protect pedestrian privacy in the era of AI

Xingchen Zhang · Zixian Zhao

A Circular Argument: Does RoPE need to be Equivariant for Vision?

Chase van de Geijn · Timo Lüddecke · Polina Turishcheva · Alexander Ecker

Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence

Shaopeng Fu · Liang Ding · Jingfeng ZHANG · Di Wang

LILO: Learning to Reason at the Frontier of Learnability

Thomas Foster · Anya Sims · Johannes Forkel · Jakob Foerster

Value Gradient Guidance for Flow Matching Alignment

Zhen Liu · Tim Xiao · Carles Domingo i Enrich · Weiyang Liu · Dinghuai Zhang

Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding

Yue Guan · Changming Yu · Shihan Fang · Weiming Hu · Zaifeng Pan · Zheng Wang · Zihan Liu · Yangjie Zhou · Yufei Ding · Minyi Guo · Jingwen Leng

Improving Progressive Generation with Decomposable Flow Matching

Moayed Haji-Ali · Willi Menapace · Ivan Skorokhodov · Arpit Sahni · Sergey Tulyakov · Vicente Ordonez · Aliaksandr Siarohin

Reinforcement Learning with Backtracking Feedback

Bilgehan Sel · Vaishakh Keshava · Phillip Wallis · Lukas Rutishauser · Ming Jin · Dingcheng Li

Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game

Tingting Dan · Zhihao Fan · Guorong Wu

ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World

Weixiang Yan · Haitian Liu · Tengxiao Wu · Qian Chen · Wen Wang · Haoyuan Chai · Jiayi Wang

OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization

Yiyou Sun · Shawn Hu · Georgia Zhou · Ken Zheng · Hanna Hajishirzi · Nouha Dziri · Dawn Song

Bag of Tricks for Inference-time Computation of LLM Reasoning

Fan LIU · Wen-Shuo Chao · Naiqiang Tan · Hao Liu

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

Hengyu Liu · Chenxin Li · Zhengxin Li · Yipeng Wu · Wuyang Li · Zhiqin Yang · Zhenyuan Zhang · Yunlong Lin · Sirui Han · Brandon Feng

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition

Andy Zou · Maxwell Lin · Eliot Jones · Micha Nowak · Mateusz Dziemian · Nick Winter · Valent Nathanael · Ayla Croft · Xander Davies · Jai Patel · Robert Kirk · Yarin Gal · Dan Hendrycks · Zico Kolter · Matt Fredrikson

Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE

Zhaokun Wang · Jinyu Guo · Jingwen Pu · ChenLingFeng · Hongli Pu · Jie Ou · Libo Qin · Wenhong Tian

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong · Xuanye Zhang · Ruifei Zhang · Yun Su · Zhuo Li · Yuhao Du · Anningzhe Gao · Xiang Wan · Haofeng Li

Neural B-frame Video Compression with Bi-directional Reference Harmonization

Yuxi Liu · jin dengchao · Shuai Huo · Jiawen Gu · Chao Zhou · Huihui Bai · Ming Lu · Zhan Ma

WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction

shengchuan gao · Shuo Wang · Yabiao Wang · Ran Yi

Variational Inference with Mixtures of Isotropic Gaussians

Marguerite Petit-Talamon · Marc Lambert · Anna Korba

Vector Database Watermarking

Zhiwen Ren · Wei Fan · Qiyi Yao · Jing Qiu · Weiming Zhang · Nenghai Yu

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao · HaiBin Wen · Xianfu Liu · Rui Mao · Pengkun Wang · Liheng Yu · Linjiang Chen · Bo An · Qingfu Zhang · Yang Wang

Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization

Xiaochuan Gong · Jie Hao · Mingrui Liu

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Songjun Tu · Jiahao Lin · Qichao Zhang · Xiangyu Tian · Linjing Li · Xiangyuan Lan · Dongbin Zhao

MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation

Jiaxin Huang · Runnan Chen · Ziwen Li · Zhengqing Gao · Xiao He · Yandong Guo · Mingming Gong · Tongliang Liu

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

Yiren Song · Cheng Liu · Mike Zheng Shou

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning

Yue Liu · Shengfang Zhai · Mingzhe Du · Yulin Chen · Tri Cao · Hongcheng Gao · Cheng Wang · Xinfeng Li · Kun Wang · Junfeng Fang · Jiaheng Zhang · Bryan Hooi

The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses

Greg Gluch · Berkant Turan · Sai Ganesh Nagarajan · Sebastian Pokutta

The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation

Sara Ahmadian · Edith Cohen · Uri Stemmer

LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation

Huanlin Gao · Ping Chen · Fuyuan Shi · Chao Tan · Zhaoxiang Liu · Fang Zhao · Kai Wang · Shiguo Lian

ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model

Sagnik Bhattacharya · Abhiram Gorle · Ahsan Bilal · Connor Ding · Amit Kumar Singh Yadav · Tsachy Weissman

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing

Fengxiang Wang · Yulin Wang · Mingshuo Chen · Haotian Wang · Hongzhen Wang · Haiyan Zhao · Yangang Sun · Shuo Wang · Di Wang · Long Lan · Wenjing Yang · Jing Zhang

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion

Akide Liu · Zeyu Zhang · Zhexin Li · Xuehai Bai · Yuanjie Xing · Yizeng Han · Jiasheng Tang · Jichao Wu · Mingyang Yang · Weihua Chen · Jiahao He · Yuanyu He · Fan Wang · Reza Haffari · Bohan Zhuang

Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference

Zichen Wang · Haoyang Hong · Chuanhao Li · Haoxuan Li · Zhiheng Zhang · Huazheng Wang

Neural-Driven Image Editing

Pengfei Zhou · Jie Xia · Xiaopeng Peng · Wangbo Zhao · Zilong Ye · Zekai Li · Suorong Yang · Jiadong Pan · Yuanxiang Chen · Ziqiao Wang · Kai Wang · Qian Zheng · Xiaojun Chang · Gang Pan · Shurong Dong · Kaipeng Zhang · Yang You

VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models

Haichao Zhang · Yun Fu

Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game

Tingting Dan · Xinwei Huang · Won Hwa Kim · Guorong Wu

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang · Yijia Fan · Zimo Wen · Jian Wang · Keze Wang

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers

Jianghao Lin · Rong Shan · Jiachen Zhu · Yunjia Xi · Yong Yu · Weinan Zhang

Sample-Conditional Coverage in Split-Conformal Prediction

John Duchi

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan · AIHUA ZHENG · Bo Jiang · Beibei Wang · Chenglong Li · Jin Tang

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference

Denis Blessing · Julius Berner · Lorenz Richter · Carles Domingo i Enrich · Yuanqi Du · Arash Vahdat · Gerhard Neumann

Direct Fisher Score Estimation for Likelihood Maximization

Sherman Khoo · Yakun Wang · Song Liu · Mark Beaumont

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs

Georgios Tzannetos · Parameswaran Kamalaruban · Adish Singla

Policy Compatible Skill Incremental Learning via Lazy Learning Interface

Daehee Lee · Dongsu Lee · TaeYoon Kwack · Wonje Choi · Honguk Woo

Learning to Reason under Off-Policy Guidance

Jianhao Yan · Yafu Li · Zican Hu · Zhi Wang · Ganqu Cui · Xiaoye Qu · Yu Cheng · Yue Zhang

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling · Zhengyu Gan · Wanyuan Wang · Guanyu Gao · Weiwei Wu · Yan Lyu

Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training

Will Merrill · Shane Arora · Dirk Groeneveld · Hanna Hajishirzi

Behavior Injection: Preparing Language Models for Reinforcement Learning

Zhepeng Cen · Yihang Yao · William Han · Zuxin Liu · DING ZHAO

On Evaluating Policies for Robust POMDPs

Merlijn Krale · Eline M. Bovy · Maris F. L. Galesloot · Thiago Simão · Nils Jansen

Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules

John Vastola · Samuel J Gershman · Kanaka Rajan

Activity Pruning for Efficient Spiking Neural Networks

Tong Bu · Xinyu Shi · Zhaofei Yu

Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold

Xinghan Li · Haodong Wen · Kaifeng Lyu

U-REPA: Aligning Diffusion U-Nets to ViTs

Yuchuan Tian · Hanting Chen · Mengyu Zheng · Yuchen Liang · Chao Xu · Yunhe Wang

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Jiangjie Chen · Qianyu He · Siyu Yuan · Aili Chen · Zhicheng Cai · Weinan Dai · Hongli Yu · Jiaze Chen · Xuefeng Li · Qiying Yu · Hao Zhou · Mingxuan Wang

Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models

Tiezheng Zhang · Yitong Li · Yu-Cheng Chou · Jieneng Chen · Alan Yuille · Chen Wei · Junfei Xiao

An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models

Bo Peng · Jie Lu · Guangquan Zhang · Zhen Fang

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers

Charles London · Varun Kanade

Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules

Binghui Li · Fengling Chen · Zixun Huang · Lean Wang · Lei Wu

Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning

Tuan Dam

DISC: Dynamic Decomposition Improves LLM Inference Scaling

Jonathan Li · Wei Cheng · Benjamin Riviere · Yue Wu · Masafumi Oyamada · Mengdi Wang · Yisong Yue · Santiago Paternain · Haifeng Chen

Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion

Zaoming Yan · Yaomin Huang · Pengcheng Lei · Qizhou Chen · Guixu Zhang · Faming Fang

Matchings Under Biased and Correlated Evaluations

Amit Kumar · Nisheeth K. Vishnoi

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning

Leander Diaz-Bone · Marco Bagatella · Jonas Hübotter · Andreas Krause

KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration

Dengwei Zhao · Shikui Tu · Yanan Sun · Lei Xu

AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Wei Fu · Jiaxuan Gao · Xujie Shen · Chen Zhu · Zhiyu Mei · Chuyi He · Shusheng Xu · Guo Wei · Jun Mei · Jiashu Wang · Tongkai Yang · Binhang Yuan · YI WU

Improving planning and MBRL with temporally-extended actions

Palash Chatterjee · Roni Khardon

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception

Ziang Yan · Yinan He · Xinhao Li · Zhengrong Yue · Xiangyu Zeng · Yali Wang · Yu Qiao · Limin Wang · Yi Wang

MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks

Rui Jiao · Hanlin Wu · Wenbing Huang · Yuxuan Song · Yawen Ouyang · Yu Rong · Tingyang Xu · Pengju Wang · Hao Zhou · Wei-Ying Ma · Jingjing Liu · Yang Liu

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders

Qiming Hu · Linlong Fan · Yiyan Luo · Yuhang Yu · Xiaojie Guo · Qingnan Fan

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits

Fan Chen · Zeyu Jia · Alexander Rakhlin · Tengyang Xie

Leveraging semantic similarity for experimentation with AI-generated treatments

Lei Shi · David Arbour · Raghavendra Addanki · Ritwik Sinha · Avi Feller

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control

Zijie Xu · Tong Bu · Zecheng Hao · Jianhao Ding · Zhaofei Yu

Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding

Weiyu Guo · Ziyang Chen · Shaoguang WANG · Jianxiang He · Yijie Xu · Jinhui Ye · Ying Sun · Hui Xiong

JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models

Jiaxin Song · Yixu Wang · Jie Li · Xuan Tong · rui yu · Yan Teng · Xingjun Ma · Yingchun Wang

Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond

Kaixiang Chen · Pengfei Fang · hui xue

CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models

Zhihang Lin · Mingbao Lin · Yuan Xie · Rongrong Ji

Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization

jingfeng Guo · Jian Liu · Jinnan Chen · Shiwei Mao · Changrong Hu · Puhua Jiang · Junlin Yu · Jing Xu · Qi Liu · LiXin Xu · Zhuo Chen · Chunchao Guo

ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding

junliang ye · Zhengyi Wang · Ruowen Zhao · Shenghao Xie · Jun Zhu

DMWM: Dual-Mind World Model with Long-Term Imagination

Lingyi Wang · Rashed Shelim · Walid Saad · Naren Ramakrishnan

Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms

William Réveillard · Richard Combes

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts

Zeman Li · Yuan Deng · Peilin Zhong · Meisam Razaviyayn · Vahab Mirrokni

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought

Guanghao Li · Wenhao Jiang · Mingfeng Chen · Yan Li · Hao Yu · Shuting Dong · Tao Ren · Ming Tang · Chun Yuan

Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts

Siyang Jiang · Rui Fang · Hsi-Wen Chen · Wei Ding · Guoliang Xing · Ming-syan Chen

Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons

Jianhui Chen · Xiaozhi Wang · Zijun Yao · Yushi Bai · Lei Hou · Juanzi Li

Tree of Preferences for Diversified Recommendation

Hanyang Yuan · Ning Tang · Tongya Zheng · Jiarong Xu · Xintong Hu · Renhong Huang · Shunyu Liu · Jiacong Hu · Jiawei Chen · Mingli Song

SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism

Reda Marzouk · Shahaf Bassan · Guy Katz

Scaling Embedding Layers in Language Models

Da Yu · Edith Cohen · Badih Ghazi · Yangsibo Huang · Pritish Kamath · Ravi Kumar · Daogao Liu · Chiyuan Zhang

Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms

Alicia Zeng · Jack Gallant

Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models

Aleksandar Terzic · Nicolas Menet · Michael Hersche · Thomas Hofmann · Abbas Rahimi

Low Rank Gradients and Where to Find Them

Rishi Sonthalia · Michael Murray · Guido Montufar

MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning

Yuchen Xia · Yunjian Xu

$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power

Hongyu Shen · Zhizhen Jane Zhao

FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators

Guy Moss · Leah Muhle · Reinhard Drews · Jakob H Macke · Cornelius Schröder

DOTA: Distributional Test-time Adaptation of Vision-Language Models

Zongbo Han · Jialong Yang · Guangyu Wang · Junfan Li · Qianli Xu · Mike Zheng Shou · Changqing Zhang

Covariate-moderated Empirical Bayes Matrix Factorization

William Denault · Karl Tayeb · Peter Carbonetto · Jason Willwerscheid · Matthew Stephens

Uncertainty Quantification with the Empirical Neural Tangent Kernel

Joseph Wilson · Chris van der Heide · Liam Hodgkinson · Fred Roosta

Recurrent Memory for Online Interdomain Gaussian Processes

Wenlong Chen · Naoki Kiyohara · Harrison Zhu · Jacob Curran-Sebastian · Samir Bhatt · Yingzhen Li

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Zi Yang · Ying Li · Zhidi Lin · Michael Minyi Zhang · Pablo Martinez Olmos

Quantum speedup of non-linear Monte Carlo problems

Jose Blanchet · Yassine Hamoudi · Mario Szegedy · Guanyang Wang

Parallelizing MCMC Across the Sequence Length

David Zoltowski · Skyler Wu · Xavier Gonzalez · Leo Kozachkov · Scott Linderman

Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling

Yihong Dong · Ge Li · Xue Jiang · Yongding Tao · Kechi Zhang · Lecheng Wang · Hao Zhu · Huanyu Liu · jiazheng ding · Jia Li · Jinliang Deng · Hong Mei

Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model

Haoxin Sun · Yubo Sun · Xiaotian Zhou · Zhongzhi Zhang

Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming

Yinxu Tang · Stylianos Loukas Vasileiou · Vincent Derkinderen · William Yeoh

Estimating Hitting Times Locally at Scale

Themistoklis Haris · Fabian Spaeh · Spyridon Konstantinos Dragazis · Charalampos Tsourakakis

Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling

Yitian Chen · Jingfan Xia · Siyu Shao · DongDong Ge · Yinyu Ye

A Gradient Guided Diffusion Framework for Chance Constrained Programming

Boyang Zhang · Zhiguo Wang · Ya-Feng Liu

Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization

He Chen · Jiajin Li · Anthony Man-Cho So

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao · Kang Cheong

Discovering Opinion Intervals from Conflicts in Signed Graphs

Peter Blohm · Florian Chen · Aristides Gionis · Stefan Neumann

Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming

Hongyu Cheng · Amitabh Basu

How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets

Marie-Charlotte Brandenburg · Katharina Jochemko

Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers

Ziyi Fang · Lingxiao Huang · Runkai Yang

Geometric Algorithms for Neural Combinatorial Optimization with Constraints

Nikolaos Karalias · Akbar Rafiey · Yifei Xu · Zhishang Luo · Behrooz Tahmasebi · Connie Jiang · Stefanie Jegelka

Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization

Mohammad Pedramfar · Christopher Quinn · Vaneet Aggarwal

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis

Konstantinos Oikonomidis · Jan Quan · Panagiotis Patrinos

Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization

Sebastian Kassing · Simon Weissmann · Leif Döring

Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation

Tianqi Qiao · Marie Maros

Treatment Effect Estimation for Optimal Decision-Making

Dennis Frauen · Valentyn Melnychuk · Jonas Schweisthal · Mihaela van der Schaar · Stefan Feuerriegel

Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies

Junyu Huang · Qilong Feng · Zhen Zhang · Beirong Cui · Jianxin Wang

Targeted Maximum Likelihood Learning: An Optimization Perspective

Diyang Li · Kyra Gan

Revisiting Frank-Wolfe for Structured Nonconvex Optimization

Hoomaan Maskan · Yikun Hou · Suvrit Sra · Alp Yurtsever

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules

Gonzalo E. Constante · Hao Chen · Can Li

Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding

Pei-Shuo Wang · Jian-Jia Chen · Chun-Che Yang · Chi-Chih Chang · Ning-Chi Huang · Mohamed Abdelfattah · Kai-Chiang Wu

Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems

Elfarouk Harb · Yousef Yassin · Chandra Chekuri

Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

Jianze Li · Jiezhang Cao · Zichen Zou · Xiongfei Su · Xin Yuan · Yulun Zhang · Yong Guo · Xiaokang Yang

Understanding outer learning rates in Local SGD

Ahmed Khaled · Satyen Kale · Arthur Douillard · Chi Jin · Rob Fergus · Manzil Zaheer

Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM

Yongqiang Yao · Jingru Tan · Kaihuan Liang · Feizhao Zhang · Jiahao Hu · Shuo Wu · Yazhe Niu · Ruihao Gong · Dahua Lin · Ningyi Xu

Predictability Enables Parallelization of Nonlinear State Space Models

Xavier Gonzalez · Leo Kozachkov · David Zoltowski · Kenneth Clarkson · Scott Linderman

FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning

Gang Yan · Sikai Yang · Wan Du

Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones

Ke Li · Yan Ding · Zhiqin Zhu · Shenhai Zheng

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach

Dandan Liang · Jianing Zhang · Evan Chen · Zhe Li · Rui Li · Haibo Yang

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training

Ziming Liu · Shaoyu Wang · Shenggan Cheng · Zhongkai Zhao · Kai Wang · Xuanlei Zhao · James Demmel · Yang You

Second-Order Convergence in Private Stochastic Non-Convex Optimization

Youming Tao · Zuyuan Zhang · Dongxiao Yu · Xiuzhen Cheng · Falko Dressler · Di Wang

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu · Shenggan Cheng · Guangming Tan · Yang You · Dingwen Tao

First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training

Gyudong Kim · Hyukju Na · Jin Kim · Hyunsung Jang · Jaemin Park · Jaegi Hwang · NAMKOO HA · Seungryong Kim · Young Geun Kim

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism

Sameera Ramasinghe · Thalaiyasingam Ajanthan · Gil Avraham · Yan Zuo · Alexander Long

DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning

Sikai Bai · Haoxi Li · Jie ZHANG · Zicong Hong · Song Guo

Scaling Epidemic Inference on Contact Networks: Theory and Algorithms

Guanghui Min · Yinhan He · Chen Chen

Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity

Kumar Kshitij Patel · Ali Zindari · Sebastian Stich · Lingxiao Wang

A Beyond-Worst-Case Analysis of Greedy k-means++

Qingyun Chen · Sungjin Im · Ben Moseley · Ryan Milstrey · Chenyang Xu · Ruilong Zhang

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG · Rajiv Khanna

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering

Jiakai Li · Rongzheng Wang · Yizhuo Ma · Shuang Liang · Guangchun Luo · Ke Qin

Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

Shiva Sreeram · Alaa Maalouf · Pratyusha Sharma · Daniela Rus

FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing

Binrui Shen · LiangYuan · Shengxin Zhu

Stepsize anything: A unified learning rate schedule for budgeted-iteration training

Anda Tang · Yiming Dong · Yutao Zeng · zhou Xun · Zhouchen Lin

VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning

Qi Wang · Yanrui Yu · Ye Yuan · Rui Mao · Tianfei Zhou

Irrational Complex Rotations Empower Low-bit Optimizers

Zhen Tian · Xin Zhao · Ji-Rong Wen

A geometric framework for momentum-based optimizers for low-rank training

Steffen Schotthöfer · Timon Klein · Jonas Kusch

Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training

Minhak Song · Beomhan Baek · Kwangjun Ahn · Chulhee Yun

HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs

Ningning Chen · Weicai Ye · Ying Jiang

REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving

Annabelle Sujun Tang · Christopher Priebe · Rohan Mahapatra · Lianhui Qin · Hadi Esmaeilzadeh

Exploring and Exploiting Model Uncertainty in Bayesian Optimization

Zishi Zhang · Tao Ren · Yijie Peng

Amortized Active Generation of Pareto Sets

Daniel Steinberg · Asiri Wijesinghe · Rafael Oliveira · Piotr Koniusz · Cheng Soon Ong · Edwin Bonilla

Informed Initialization for Bayesian Optimization and Active Learning

Carl Hvarfner · David Eriksson · Eytan Bakshy · Maximilian Balandat

Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs

Richard Suwandi · Feng Yin · Juntao Wang · Renjie Li · Tsung-Hui Chang · Sergios Theodoridis

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints

Abhishek Sinha · Rahul Vaze

Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing

XianJun, Davin Choo · Yuqi Pan · Tonghan Wang · Milind Tambe · Alastair van Heerden · Cheryl Johnson

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints

Jayanta Mandi · Marianne Defresne · Senne Berden · Tias Guns

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