arXiv CS
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VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
Long-video understanding places substantial demands on memory, as answering questions often requires retrieving information distributed across extended temporal spans. Existing approaches broadly follow two paradigms: query-driven exploration, which is sensitive to localization errors, and query-ind
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