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Reinforcement Learning from Human Feedback

209 papers

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Papers

Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment COLT 2026 SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization CVPR 2026 SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models CVPR 2026 StyleDoctor: Towards Specialist Reward Model for Style-centric Generation Tasks CVPR 2026 Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning CVPR 2026 Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026 Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models CVPR 2026 What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment ACL 2026 WildReward: Learning Reward Models from In-the-Wild Human Interactions ACL 2026 YNU-HPCC at SemEval-2026 Task 1: Constraint-Aware In-Context Learning for Multilingual Humor Generation SemEval 2026 f-PO: Generalizing Preference Optimization with f-divergence Minimization AISTATS 2025 3D-Properties: Identifying Challenges in DPO and Charting a Path Forward ICLR 2025 AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ACL 2025 Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model ACML 2025 Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support EMNLP 2025 Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction EMNLP 2025 Aligning Language Models Using Follow-up Likelihood as Reward Signal AAAI 2025 Aligning Language Models with Demonstrated Feedback ICLR 2025 Aligning Large Language Models with Implicit Preferences from User-Generated Content ACL 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks ACL 2025 A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025 As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss ICLR 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Theoretical Framework for Partially-Observed Reward States in RLHF ICLR 2025