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Cheng-Yuan Qian

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Preprint Oct 2026

FastVLA: Task-Conditioned and Temporally Adaptive Visual Token Compression for Efficient Vision-Language-Action Models

Vision-Language-Action (VLA) models present a promising paradigm for general-purpose robot manipulation, but closed-loop deployment is often limited by inference efficiency: at each timestep, high-resolution, often multi-view images are encoded into hundreds of visual tokens that dominate transformer computation and la...

Jiu-Yi Xu, Cheng-Yuan Qian, Zheng-Zhong Tu et al. · 0 citations
#machine learning Preprint Oct 2026

The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models

While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we take a first step toward systematically studying mathematical understanding in LLM...

Shuo Xing, Zi-Lin Dai, Cheng-Yuan Qian et al. · 0 citations

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