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Shanghai Artificial Intelligence Laboratory
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Current multimodal LLMs choke on long-form video understanding, either forgetting details or getting lost in the timeline, but a new agentic architecture with dynamic memory management offers a promising fix.
Current video LLMs falter when faced with the demands of real-time interaction, a gap RIVER Bench directly addresses by providing a challenging new evaluation framework.
