AI RESEARCH
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
arXiv CS.CV
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ArXi:2508.20478v2 Announce Type: replace 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