Large Language Models

Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025 Reasoning Models Reason Well, Until They Don’t IJCNLP 2025 Reasoning or Memorization? Investigating LLMs’ Capability in Restoring Chinese Internet Homophones ACL 2025 Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025 ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning NAACL 2025 Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ICML 2025 Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models IJCNLP 2025 ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning EMNLP 2025 ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving CoRL 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts ICML 2025 RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025 Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? IJCNLP 2025 Recognizing Limits: Investigating Infeasibility in Large Language Models EMNLP 2025 Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025 Reconstructing Animals and the Wild CVPR 2025 Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts AAAI 2025 ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models ICCV 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data ACL 2025 Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025