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Hai-Quan Wen

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Preprint Oct 2026

Open-o3-Video-v2: Seek, Ground, and Reason with Verifiable Spatio-Temporal Evidence

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
#machine learning Preprint Sep 2026

Online Self-Weighted Fine-Tuning

Online Self-Weighted Fine-Tuning is proposed, a simple method that augments SFT with online, trajectory-level weighting and offers a favorable compute-performance trade-off as a practical approach for fine-tuning small-to-medium LLMs on binary-verifiable reasoning tasks with only 2 online rollouts.

Hai-Quan Wen, Yi-Wei He, Bei Peng et al. · 0 citations

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