reward model

GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NeurIPS 2024 HelpSteer 2: Open-source dataset for training top-performing reward models NeurIPS 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Language Model Reasoning with Self-motivated Learning COLING 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model NAACL 2024 Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining ICML 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024 Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF ICML 2024 KAUCUS - Knowledgeable User Simulators for Training Large Language Models EACL 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Learning Transparent Reward Models via Unsupervised Feature Selection CoRL 2024 LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning EMNLP 2024 Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences ICML 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 2024 Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NeurIPS 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Noise Contrastive Alignment of Language Models with Explicit Rewards NeurIPS 2024