Author

Zellux Wang

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#artificial intelligence Preprint Sep 2026

EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?

Autonomous agents have made rapid progress in general-purpose computer use, but reliable automation of professional industrial engineering remains out of reach, as engineering workflows demand reasoning over geometric and physical constraints and dependencies preserved across software and design stages. We present Engi...

Hong-Cheng Gao, Hai-Long Qu, Yu-Ang Lei et al. · 0 citations

#artificial intelligence Preprint Sep 2026

MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development

Machine learning engineering (MLE) agents have made substantial progress, but learning through ML experimentation remains costly in time and computation. Synthetic environments reduce these costs while introducing variations in data and experimental settings that require task-specific diagnosis. Access to diagnostic to...

Xin Yu, Li-Zhu Zhang, Jiamu Bai et al. · 0 citations