Author

Shaokun Zhang

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#artificial intelligence Preprint Sep 2026

Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents

Terminal agents act through stochastic model generations, yet the ability to generate a useful action does not ensure its reliable execution. A poor command (e.g., wrong package install) can change the environment in ways that hinder subsequent progress, even when the model could generate a better alternative. We inves...

Minki Kang, Ryo Hachiuma, Shao-Kun 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