Reliable video reasoning requires models to produce correct answers and expose supporting visual evidence. Open-o3-Video enables verifiable reasoning by embedding timestamps and object-level bounding boxes into reasoning traces, but is restricted to frames from an initial sparse sampler. We introduce Open-o3-Video-v2,...
Jia-Hao Meng, Zhong-Yuan Bao, Yue Tan et al.· 1 citation
Deep research agents synthesize open-web evidence into long reports, but current benchmarks do not evaluate research centered on a source video. We introduce Video-Centered Deep Research Report Generation. Given a video and user request, an agent identifies research questions, retrieves external multimodal evidence, an...
Jia-Hao Meng, Qi-Ze Yang, Yuxuan Wang et al.· 0 citations
Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors, so TempCloze is introduced, a video cloze benchmark for evaluating visual temporal reasoning in Video-LLMs.
Wen-Qi Pei, Henry Hengyuan Zhao, Yi-Lai Liu et al.· 0 citations
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