Video-Holmes
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The 'Video-Holmes' dataset is a benchmark used to evaluate video reasoning tasks, specifically focusing on the performance of Multimodal Large Language Models (MLLMs) in generating reasoning clues through autonomous tool usage within chain-of-thought reasoning sequences.
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