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Current vision-language models falter in streaming interaction understanding, with alarming mis-calibration leading to confidently incorrect predictions.
MLLMs struggle to juggle proactive tasks and reactive queries in dynamic video streams, but a simple agentic framework can significantly improve their coordination without any training.
