Author

Yusen Wu

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Preprint Aug 2026

From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use

OODA-Tool, a typed closed-loop policy designed to mitigate state preservation from action realization, consistently improves task success across model sizes, with larger gains on smaller models and on tasks whose actions depend strongly on information accumulated across turns and prior tool results.

Rongfeng Guo, Yinxuan Huang, Yusen Wu et al. · 0 citations

Preprint Jul 2026

MUGEN: A Unified Framework for Efficient Motion Understanding and Generation

MUGEN is proposed, a unified motion--language framework that pays neither cost: no codebook, one draw, and surpasses the discrete-token state of the art on every retrieval and alignment metric on SnapMoGen.

Zhankai Ye, Yukai Jin, Bingyang Wei et al. · 0 citations