Kwai-Keye/VideoTemp-Bench

VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos Illustration of the agentic pipeline in VideoTemp-o3. Given a video QA pair, the model performs on-demand temporal grounding to locate the most relevant segment, then refines it iteratively. Finally, it produces a reliable answer grounded in the pertinent visual evidence. Data Source Dataset Source NExT-GQA https://github.com/doc-doc/NExT-GQA… See the full description on the dataset page: https://huggingface.co/datasets/Kwai-Keye/VideoTemp-Bench.

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