AI RESEARCH
Variance-aware Reward Modeling with Anchor Guidance
arXiv CS.LG
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ArXi:2605.11865v1 Announce Type: cross Standard Bradley--Terry (BT) reward models are limited when human preferences are pluralistic. Although soft preference labels preserve disagreement information, BT can only express it by shrinking reward margins. Gaussian reward models provide an alternative by jointly predicting a reward mean and a reward variance, but suffer from a fundamental non-identifiability from pairwise preferences alone.