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Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios

This work proposes Event-Causal RAG, a lightweight retrieval-augmented framework for ultra-long and streaming video reasoning and introduces ECV-1H, an hour-scale long-video QA benchmark dedicated to directed event-causal reasoning, with all source videos exceeding one hour.

P. Yan, Yu Zhao, Liang Xie et al. · 0 citations