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Multi-frame temporal reasoning is crucial for video-text understanding, and ViTexQA reveals that existing datasets fall short, leaving a significant gap in multimodal comprehension.
Robot manipulation models trained on mostly VR data can perform as well as those trained on real-world data, but at 1/20th the cost.
