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EM^2Mem: Event-Centric Multimodal Memory for Large Language Models

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By Yijun Chen, Yaqi Zheng, Yanya Li
| huggingface.co
Published on Sep 1 · Submitted by Shumin Deng on Sep 2 · ZJUNLP Abstract EM²Mem binds multimodal evidence to event anchors for compact, generation-ready memory in long-video question answering. Multimodal memory offers a scalable interface for long-video question answering, but existing methods often retrieve captions, frames, transcripts, summaries, or graph facts as isolated fragments.
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