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Where to Look Matters: On-Policy Self-Distillation for Long-Video Understanding
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 inevitably contains more question-irrelevant tempo
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