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RoboJudge-Bench evaluates multimodal large models as judges of embodied video generation

The paper introduces RoboJudge-Bench to assess the reliability of multimodal large language models (MLLMs) as judges of embodied video generation, covering two dimensions, physical consistency and instruction alignment, with 800 human-annotated videos from 8 source corpora and 10 video generators, spanning grippers, human hands, and dexterous hands.

Part of the event: Release of RoboJudge embodied video generation evaluation benchmark and model

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