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
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