reinforcement learning from human feedback

Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue AAAI 2024 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback NeurIPS 2023 A Study on Annotation Interfaces for Summary Comparison ACL 2023 Axiomatic Preference Modeling for Longform Question Answering EMNLP 2023 BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NeurIPS 2023 Can we trust the evaluation on ChatGPT? ACL 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 Discovering Language Model Behaviors with Model-Written Evaluations ACL 2023 Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NeurIPS 2023 HuatuoGPT, Towards Taming Language Model to Be a Doctor EMNLP 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NeurIPS 2023 Improving Summarization with Human Edits EMNLP 2023 Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation EMNLP 2023 Is RLHF More Difficult than Standard RL? A Theoretical Perspective NeurIPS 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Language Models can Solve Computer Tasks NeurIPS 2023 Large Language Models are biased to overestimate profoundness EMNLP 2023 Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback EMNLP 2023 OpenAssistant Conversations - Democratizing Large Language Model Alignment NeurIPS 2023 Pretraining Language Models with Human Preferences ICML 2023 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards NeurIPS 2023 Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery NeurIPS 2023