arxiv
PublishedOctober 16, 2026 at 4:00 AM
CleanRM: Reward Modeling from Noisy Feedback with a Few Clean Feedback for RLHF
Publisher summary· verbatim
arXiv:2610.21138v1 Announce Type: new Abstract: Feedback noise is pervasive in preference data, arising from subjective human judgments, annotation mistakes, and imperfect LLM judges. Standard reward modeling trained on such feedback yields a biased estimate of the clean risk. Although classical den
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Originally published on arxiv ↗