Large Language Models

Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding ICML 2025 Retrieval-Augmented Language Models are Mimetic Theorem Provers EMNLP 2025 Retrieval-Augmented Machine Translation with Unstructured Knowledge EMNLP 2025 Retrieval-Enhanced Mental Health Assessment: Capturing Self-State Dynamics from Social Media Using In-Context Learning NAACL 2025 Retrieval Head Mechanistically Explains Long-Context Factuality ICLR 2025 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models ACL 2025 Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation AACL 2025 Retrofitting Large Language Models with Dynamic Tokenization ACL 2025 RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation ACL 2025 Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing EMNLP 2025 Revealing the Inherent Instructability of Pre-Trained Language Models EMNLP 2025 REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs IJCAI 2025 Reverse Modeling in Large Language Models NAACL 2025 Reverse Preference Optimization for Complex Instruction Following ACL 2025 RevieWeaver: Weaving Together Review Insights by Leveraging LLMs and Semantic Similarity NAACL 2025 ReviewEval: An Evaluation Framework for AI-Generated Reviews EMNLP 2025 Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models ACL 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability ACL 2025 Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? ACL 2025 Revisiting In-context Learning Inference Circuit in Large Language Models ICLR 2025 Revisiting In-Context Learning with Long Context Language Models ACL 2025 Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models ACL 2025 Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025 Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025