Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models

Video understanding reward modeling is limited by a lack of good benchmarks and preference data. This work introduces VURB, a new benchmark for video preference judgment, and VUP-35K, a large dataset built automatically. It trains VideoDRM and VideoGRM reward models that achieve state-of-the-art results on video tasks.

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