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News/In-Context Reward Adaptation for Robust Preference Modeling
arxiv
PublishedMay 29, 2026 at 4:00 AM

In-Context Reward Adaptation for Robust Preference Modeling

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arXiv:2605.30323v1 Announce Type: cross Abstract: Reinforcement Learning from Human Feedback (RLHF) typically relies on static reward models to align Large Language Models with human preferences. However, human values are inherently diverse and heterogeneous, and a single reward model often lacks th

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