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EC-RAG: Event Chain Retrieval-Augmented Generation for Long Video Understanding
Current large video-language models (LVLMs) still face challenges when dealing with long videos, mainly because frames are often processed independently, making it difficult to capture temporal dependencies across events. Although retrieval-augmented approaches have been introduced to provide additi
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