Author

Jing-Yuan Huang

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#artificial intelligence Preprint Oct 2026

Self-Supervised Scaling of Terminal Environments for Scientific Domains

Terminal agents are increasingly deployed beyond software engineering in science and other specialized domains. Constructing training environments requires executable reference behavior and a domain-specific verifier that distinguishes semantic correctness from superficially plausible artifacts. Authoring these compone...

Zhong-Zhi Li, Yu-Cheng Shi, Zong-Xia Li et al. · 2 citations

#artificial intelligence Preprint Sep 2026

Train4Merge: A Controlled Single-Teacher Study of RL vs. SFT Teachers for OPD-Based Model Merging

Domain experts trained from a shared checkpoint can transfer their specialized capabilities to a single student through on-policy distillation (OPD). Existing research primarily focuses on improving this merging process, while the algorithms used to train the experts have received limited systematic comparison. We inve...

Jing-Yuan Huang, Zu-Ming Huang, Yu-Cheng Shi et al. · 0 citations