SEE: Structure-aware Exploring&Exploiting for Long-horizon GUI Agent Trajectory Synthesis
See, a two-stage data synthesis framework consisting of an efficient exploration stage that builds an explicit UI transition graph over screens and elements, and a graph-based synthesis stage that composes diverse multi-step trajectories via planning and controlled sampling, yields reproducible and explainable data generation.
Zhuohang Fan, Beichen Zhang, Yuanfa Li et al.
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