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conftrace_

human feedback

196 papers

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Also known as

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

Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs EMNLP 2025 SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025 Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment ICLR 2025 The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community ACL 2025 Towards Federated RLHF with Aggregated Client Preference for LLMs ICLR 2025 VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 2025 When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024 Aligner: Efficient Alignment by Learning to Correct NeurIPS 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 ChatHF: Collecting Rich Human Feedback from Real-time Conversations EMNLP 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 Dissecting Human and LLM Preferences ACL 2024 Efficient Exploration for LLMs ICML 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024