reinforcement learning from human feedback

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024 Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback ICML 2024 Preference Alignment with Flow Matching NeurIPS 2024 Preference Learning Algorithms Do Not Learn Preference Rankings NeurIPS 2024 Preference Ranking Optimization for Human Alignment AAAI 2024 Privacy-Preserving Instructions for Aligning Large Language Models ICML 2024 Privately Aligning Language Models with Reinforcement Learning ICLR 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer NeurIPS 2024 PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Reward Model Ensembles Help Mitigate Overoptimization ICLR 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Rich Human Feedback for Text-to-Image Generation CVPR 2024 Risk-Averse Fine-tuning of Large Language Models NeurIPS 2024 RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs EMNLP 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024 Robust Reinforcement Learning from Corrupted Human Feedback NeurIPS 2024 RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024 Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024 SALMON: Self-Alignment with Instructable Reward Models ICLR 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment COLING 2024