Reinforcement Learning from Human Feedback

ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025 Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up ACL 2025 Reward Learning from Multiple Feedback Types ICLR 2025 Robust Multi-Objective Preference Alignment with Online DPO AAAI 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025 Self-Improvement in Language Models: The Sharpening Mechanism ICLR 2025 SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025 SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters ICLR 2025 Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models ICLR 2025 Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement ACL 2025 Towards Reward Fairness in RLHF: From a Resource Allocation Perspective ACL 2025 UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models ACL 2025 Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025 ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024 Aligning to Thousands of Preferences via System Message Generalization NeurIPS 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Demonstration-Regularized RL ICLR 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Direct Preference Optimization with an Offset ACL 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024