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LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception

The paper introduces LEAP, a framework for long audio-video perception that retrieves evidence in block-wise manner to overcome context limitations. It divides recordings into fixed-duration blocks, scores candidate windows, and re-encodes the highest-ranked ones for answering, enabling efficient processing without decoding media frames.

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PublishedSeptember 30, 2026Juyi Lin, Zhiqiang Lao, Jiali Cui
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WHY IT MAY MATTER

LEAP enables efficient long-form audio-video question answering by breaking down recordings into manageable blocks and focusing on high-ranking evidence windows without needing to process the entire media stream at once.

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