model evaluation

Cognitive Effects and Biases in Large Language Models EACL 2026 Confirmation Bias: A Challenge for Scalable Oversight AAAI 2026 Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality EACL 2026 Effective Strategies for Teaching Machine Learning AAAI 2026 FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research AAAI 2026 LLMs as Span Annotators: A Comparative Study of LLMs and Humans EACL 2026 Measuring Model Performance in the Presence of an Intervention AAAI 2026 On the Evaluation of Capability Estimation Methods for Large Language Models AAAI 2026 ReEfBench: Quantifying the Reasoning Efficiency of LLMs ACL 2026 Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework EACL 2026 Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization CVPR 2026 Trove: A Flexible Toolkit for Dense Retrieval EACL 2026 UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models ACL 2026 Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction EACL 2026 When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias ACL 2026 A Comprehensive Evaluation of Cognitive Biases in LLMs NAACL 2025 A Comprehensive Evaluation of Large Language Models for Retrieval-Augmented Generation under Noisy Conditions AACL 2025 Acquiescence Bias in Large Language Models EMNLP 2025 AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness ACL 2025 Adaptively profiling models with task elicitation EMNLP 2025 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025 Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models ACL 2025 Advancing Language Models through Instruction Tuning: Recent Progress and Challenges EMNLP 2025 Adversarial Robustness of Discriminative Self-Supervised Learning in Vision ICCV 2025 Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics AISTATS 2025