reinforcement learning from human feedback

Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF ICLR 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 Enabling Lanuguage Models to Implicitly Learn Self-Improvement ICLR 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Evaluating Large Language Model Biases in Persona-Steered Generation ACL 2024 Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation NAACL 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024 Generative Input: Towards Next-Generation Input Methods Paradigm ACL 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 Group Robust Preference Optimization in Reward-free RLHF NeurIPS 2024 How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment ACL 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Industry vs Academia: Running a Course on Transformers in Two Setups ACL 2024