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arXiv cs.LG·

ProCUA-SFT Technical Report

Signal
82
Hype
15
In three linesProCUA-SFT is a dataset of 3.1M step-level SFT samples generated automatically from 93K synthetic trajectories across 2,484 application combinations. Fine-tuning UI-TARS 7B on ProCUA-SFT achieves 45.0% on OSWorld, a +18.7 percentage-point improvement over the base model and +35% above AgentNet. The pipeline uses Kimi-K2.5 as task generator, precondition judge, and trajectory executor.
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Summary generated by Claude — human-verified