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VidHarness: Evolving Agent Harnesses for Cost-Efficient Long Video Understanding

arXiv:2609.38413v1 Announce Type: new Abstract: Vision-language models (VLMs) can answer questions about hour-long videos, but processing every frame is prohibitively expensive, even though the evidence for a question usually spans only a few seconds. Video agents, i.e., harness programs wrapped ar…

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  1. 2026-10-01 04:00 · arXiv cs.CV
    VidHarness: Evolving Agent Harnesses for Cost-Efficient Long Video Understanding

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