Author

Wei Tang

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Preprint Aug 2026

ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training

This work introduces ZimaBlue, a scalable framework for learning generalizable World Action Models (WAMs) from large-scale video, and adopts an asynchronous Slow-Fast dual-system architecture to make generative WAMs practical for real-time control.

Xiong-Hao Wu, Yi-Jun Yang, Shi-Long Zhou et al. · 5 citations