Author

Yifan Zhang

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#artificial intelligence Preprint Sep 2026

OSWorld-Pro: Process-based Evaluation for Computer Use Agents

Evaluation of Computer-Use Agents (CUAs) is often limited to the final deliverables they create (at the end of hundreds of steps) and assessed with functional verifiers, as seen in OSWorld. However, such evaluation of end-state performance lacks transparency into how and why agents fail in various tasks, obfuscating cr...

Zhi-Lin Wang, Shao-Kun Zhang, Yi-Fan Zhang et al. · 0 citations

#machine learning Preprint Jul 2026

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

Molt is a PyTorch-native training framework built to keep that cost small: a codebase compact and clean enough for a researcher to hold in their head, and for an AI coding assistant to read and reason about in its entirety, so the algorithm flow can be traced and changed end to end.

Jian Hu, Huiying Li, Hao Zhang et al. · 0 citations