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Video-MME is a benchmark focused on performance evaluation of multimodal large language models (MLLMs) in the field of video analysis. It fills the gap in existing evaluation methods regarding the ability of MLLMs to process continuous visual data, and provides researchers with a high-quality and comprehensive evaluation platform. The benchmark covers videos of different lengths and evaluates the core capabilities of MLLMs.
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