Large Language Models

Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models ACL 2025 RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation NAACL 2025 Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning AAAI 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 Retrospective Learning from Interactions ACL 2025 Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing EMNLP 2025 Revealing the Barriers of Language Agents in Planning NAACL 2025 Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks ICML 2025 Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up ACL 2025 Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion EMNLP 2025 ReviewEval: An Evaluation Framework for AI-Generated Reviews EMNLP 2025 ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification ICML 2025 Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding? ICML 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 with Long Context Language Models ACL 2025 Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025 Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025 Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? ACL 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 Revisit Self-Debugging with Self-Generated Tests for Code Generation ACL 2025 Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance NAACL 2025