Author

Shao-Bo Cui

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#artificial intelligence Preprint Sep 2026

T-LoopFormer: Token-Level Elastic-Depth Looped Transformers for Latent Reasoning with Dynamic Routing

Looped Transformers have recently demonstrated strong performance in both reasoning and language tasks by reusing a shared set of parameters across multiple iterations, achieving parameter efficiency without sacrificing representational power. Besides, looped Transformers perform inference directly in the latent space...

Ming-Qian Yu, Wen-Peng Zhang, Shao-Bo Cui et al. · 0 citations

#machine learning Preprint Sep 2026

Charts Are Beyond Pixels: Probing for Layer-Wise Chart Understanding and Editing

Charts are structured visual compositions whose elements have distinct functional roles, semantic correspondences, and visibility relations. This structural view motivates evaluating whether models can understand and manipulate charts at the layer level. Existing chart benchmarks, however, primarily assess the correctn...

Xiao-Chuan Zhong, Yi-Fan Hou, Chen-Xi Pang et al. · 0 citations