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Workshop
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Sat 15:45
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Auto-Evaluation with Few Labels through Post-hoc Regression
Benjamin Eyre · David Madras
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Workshop
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Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
Divyanshu Kumar · Umang Jain · Sahil Agarwal · Prashanth Harshangi
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Workshop
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Can Generic LLMs Help Analyze Child-Adult Interactions Involving Children with Autism in Clinical Observation?
Tiantian Feng · Anfeng Xu · Rimita Lahiri · Sudarsana Kadiri · Helen Tager-Flusberg · So Kim · Somer Bishop · Catherine Lord · Shrikanth Narayanan
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Workshop
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CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
ZEYU WANG
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Workshop
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Evaluating Chemistry Prompts for Large-Language Model Fine-Tuning
Carmelo Gonzales · Michael Pieler · Kevin Maik Jablonka · Santiago Miret
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Workshop
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GSR-Bench: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs
Navid Rajabi · Jana Kosecka
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Workshop
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DynoClass: A Dynamic Table-Class Detection System Without the Need for Predefined Ontologies
Haonan Wang · Eugene Wu · Kechen Liu · Jiaxiang Liu
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Workshop
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Optimizing Fine-Tuning Efficiency: Gradient Subspace Tracking on Grassmann Manifolds for Large Language Models
Sahar Rajabi · Sirisha Rambhatla
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Workshop
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Sat 10:55
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Expertise-Centric Prompting Framework for Financial Tabular Data Generation using Pre-trained Large Language Models
Subin Kim · Jungmin Son · Minyoung Jung · Youngjun Kwak
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Workshop
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CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
ZEYU WANG
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Workshop
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Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
Changgeon Ko · Jisu Shin · Hoyun Song · Jeongyeon Seo · Jong Park
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Workshop
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Can large language models reason about causal relationships in multimodal time series data?
Elizabeth Healey · Isaac S Kohane
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