SWR: Self-Supervised Scaling of Terminal Environments for Scientific Domains
Zhongzhi Li, Yucheng Shi‡, Zongxia Li*, Junyao Yang, Ruhan Wang, Yu Wang, Jingyuan Huang, Jichao Yu, Ninghao Liu†, Haitao Mi, Leowei Liang
- Equal contribution · † Corresponding author · ‡ Project lead; source role symbols normalized
Software-in-the-loop reconstruction derives reference behavior and verifiers from scientific software workflows. Scaling to 500 workflows across 46 software families and six domains improves Qwen3.8-27B on Terminal-Bench 2 from 47.94% to 53.56%.