Author

Yijun Yang

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Preprint Sep 2026

Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning

Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain fundamentally ``flat''when reasoning about the physical world. We argue that this spatial bottleneck stems from a profound dimensional mismatch: while VLMs are trained to interpret 2D projections, true spatial reaso...

Yi-Jun Yang, Shenghe Zheng, Wenbo Li et al. · 0 citations

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. · 2 citations