Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding 事件

Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding arXiv:2508.20478v2 Announce Type: replace Abstract: Long-form video understanding, characterized by long-range temporal dependencies and multiple events, remains a challenge. Existing methods often rely on static reasoning or external visual-language models (VLMs), which face issues like complexity and sub-optimal performance due to the lack of end-to-end training. In this paper, we propose Video-MTR, a reinforced multi-tur