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CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying
Memory facilitates question answering over long videos by extracting and retrieving facts to fit within the limited context windows of multimodal LLMs (MLLMs). Existing solutions typically extract independent memory entries from fixed-length video clips and thus cannot capture high-level semantics t
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