Large Language Models

REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks AAAI 2026 Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models ACL 2026 Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs EACL 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation EACL 2026 ReCode: Updating Code API Knowledge with Reinforcement Learning AAAI 2026 Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services AAAI 2026 Redefining Retrieval Evaluation in the Era of LLMs EACL 2026 ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations EACL 2026 Refining and Reusing Annotation Guidelines for LLM Annotation ACL 2026 ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework ACL 2026 REGLAT at SemEval-2026 Task 12: Multi-Strategy Ensemble Reasoning for Event Causality Identification SemEval 2026 Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models AAAI 2026 Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning AAAI 2026 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026 Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization AAAI 2026 Rethinking Prompt Optimizers: From Prompt Merits to Optimization EACL 2026 Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning ACL 2026 Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026 Rethink Representation Learning for Questionnaire Data AAAI 2026 Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026 Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment COLT 2026 RiddleBench: A New Generative Reasoning Benchmark for LLMs EACL 2026 RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions AAAI 2026 RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026