Unsupervised Multimodal Reward Modeling
arXiv:2610.12707v1 Announce Type: new Abstract: Vision-language reward models are trained on annotated preference pairs, which are expensive to collect, can disagree, and are ranked by benchmark accuracy. We build one with no human preference label: a linear head on an intermediate layer of a froze…
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- 2026-10-12 04:00 · arXiv cs.CL
Unsupervised Multimodal Reward Modeling