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Where to Look Matters: On-Policy Self-Distillation for Long-Video Understanding

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.25356v1 Announce Type: new Abstract: Vision-language models (VLMs) have made substantial progress in long-video understanding, with standard backbone models typically answering questions from frames sampled across the full video. However, as videos become longer, the full-video context i…

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  1. 2026-08-27 04:00 · arXiv cs.CV
    Where to Look Matters: On-Policy Self-Distillation for Long-Video Understanding

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