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Rater State Bias in RLHF Preference Data: An Audit Framework

Via ArXiv cs.AI
Tuesday, Jul 21, 2026 · 4:00AM
Summary

arXiv:2607.16195v1 Announce Type: new Abstract: We identify a structured confound in Reinforcement Learning from Human Feedback (RLHF). Pairwise preference labels are intended to reflect the compared outputs, but they may also reflect the rater's state during annotation. Under sustained stressful or

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