Toward Scalable Terminal Task Synthesis via Skill Graphs

📰 ArXiv cs.AI

arXiv:2604.25727v1 Announce Type: new Abstract: Terminal agents have demonstrated strong potential for autonomous command-line execution, yet their training remains constrained by the scarcity of high-quality and diverse execution trajectories. Existing approaches mitigate this bottleneck by synthesizing large-scale terminal task instances for trajectory sampling. However, they primarily focus on scaling the number of tasks while providing limited control over the diversity of execution trajecto

Published 29 Apr 2026
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