Preprint
Nov 2026
CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
This work introduces CUA-Master, a nested double-loop recursive improvement framework that substantially improves the quality and efficiency of data synthesis, and exhibits continuous gains across recursive iterations.
Xin-Lei Yu, Gen Li, Ji Zhao et al.
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