From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents explores MM-Mem provides efficient long-horizon video understanding by hierarchically optimizing memory with Semantic Information Bottleneck methods.. Commercial viability score: 7/10 in Multimodal Video Agents.
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