llms

Reinforce LLM Reasoning through Multi-Agent Reflection ICML 2025 Reward-Augmented Data Enhances Direct Preference Alignment of LLMs ICML 2025 Robust Multi-bit Text Watermark with LLM-based Paraphrasers ICML 2025 RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 Sparse Autoencoders for Hypothesis Generation ICML 2025 Star Attention: Efficient LLM Inference over Long Sequences ICML 2025 Steer LLM Latents for Hallucination Detection ICML 2025 STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving ICML 2025 Strategic Planning: A Top-Down Approach to Option Generation ICML 2025 Teaching Physical Awareness to LLMs through Sounds ICML 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking ICML 2025 The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA MLHC 2025 Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis ICML 2025 TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories ICML 2025 Unbiased Evaluation of Large Language Models from a Causal Perspective ICML 2025 Understanding Chain-of-Thought in LLMs through Information Theory ICML 2025 VinePPO: Refining Credit Assignment in RL Training of LLMs ICML 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? ICML 2025 Active Preference Learning for Large Language Models ICML 2024 AND: Audio Network Dissection for Interpreting Deep Acoustic Models ICML 2024 Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs ICML 2024 APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs CoRL 2024 Assessing Large Language Models on Climate Information ICML 2024 Coactive Learning for Large Language Models using Implicit User Feedback ICML 2024