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conftrace_

human feedback

196 papers

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HF

Co-occurring keywords · papers mentioning both

reinforcement learning (67) large language model (50) reinforcement learning from human feedback (36) preference learning (30) reward model (29) language model (19) reward modeling (17) policy learning (16) reward learning (12) reward function (11)

Papers

Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 GUIDE: Real-Time Human-Shaped Agents NeurIPS 2024 HelpSteer 2: Open-source dataset for training top-performing reward models NeurIPS 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024 Improving Context-Aware Preference Modeling for Language Models NeurIPS 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 Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 IterAlign: Iterative Constitutional Alignment of Large Language Models NAACL 2024 Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models EMNLP 2024 Learning from Failure: Improving Meeting Summarization without Good Samples AAAI 2024 Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024 MusicRL: Aligning Music Generation to Human Preferences ICML 2024 Nash Learning from Human Feedback ICML 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models ICLR 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024