large language model

When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score ACL 2026 When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning ACL 2026 When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges ACL 2026 When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors ACL 2026 When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents ACL 2026 When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026 When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents AAAI 2026 When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract) AAAI 2026 When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity AAAI 2026 When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables ACL 2026 When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital AAAI 2026 Where do LLMs currently stand on biomedical NER in both clean and noisy settings ? EACL 2026 Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models ACL 2026 Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment ACL 2026 Who Generates More Empathetic Responses—Humans or LLMs? A Comparative Evaluation with Human and LLM Judges CoNLL 2026 Who Judges the Judge? Evaluating LLM-as-a-Judge for French Medical open-ended QA EACL 2026 Whose Facts Win? LLM Source Preferences under Knowledge Conflicts ACL 2026 Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers EACL 2026 Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models ACL 2026 Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study AAAI 2026 Why Large Language Models can Secretly Outperform Embedding Similarity in Information Retrieval ACL 2026 Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets ACL 2026 Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations ACL 2026 Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics ACL 2026 Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models ACL 2026