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Tun Li

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Book Open access Oct 2026

Looks Good, but Does It Run? A Large-Scale Empirical Study of the Executability of Example Code in Model Cards

Model cards document how machine learning models should be understood, evaluated, and reused in practice. Many also provide example code to help users access and use models, yet the executability of such code remains understudied. We take Hugging Face as an open model repository and conduct an empirical study of model-...

Si-Meng Yao, Jia-Lin Zhao, Yang Zhang et al. · 0 citations
Aug 2026

Evaluating LLMs in ROS robotic software code generation

This work constructs ROSDevEval, a specialized benchmark comprising 240 real-world ROS programming tasks, and conducts a comprehensive empirical study to evaluate four state-of-the-art LLMs alongside a specialized code assistant (GitHub Copilot), revealing a severe domain capability gap.

Yuxin Zhao, Xinjun Mao, Tanghaoran Zhang et al. · 0 citations

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