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Performance gaps in multilingual medical evaluations reveal that proprietary models outperform open-source ones, but translation quality can swing results dramatically.
Evaluations reveal that current models struggle with long-range narrative integration and cultural reasoning, highlighting a critical gap in video understanding capabilities.