IsoVRBench: Video Reward Modeling Without Human Feedback
Video reward models are trained and evaluated on human preferences between videos that often differ simultaneously on properties such as prompt alignment, visual fidelity, motion, and generator identity. As a result, aggregate accuracy does not reveal which video properties a reward model can reliably distinguish. We c...
S. Li, Jacqueline He, Jia-Hui Chen et al.
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