Author

Changqiao Wu

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Preprint Aug 2026

Task-Adaptive Rubrics for GUI Reward Modeling

Recent studies on GUI agents have increasingly focused on outcome reward modeling, which assigns outcome rewards by judging whether an executed trajectory satisfies the success criteria implied by the user instruction. Existing GUI reward verifiers, however, often under-specify how these criteria should be constructed...

Tao Xiong, Xavier Hu, Wen-Kai Wang et al. · 1 citation

#artificial intelligence Sep 2025

GUI-PRA: Process Reward Agent for GUI Tasks

gui-PRA is introduced, a Process Reward Agent that transforms GUI process evaluation from passive scoring into active investigation, and demonstrates strong competitiveness against fully trained critic models.

Tao Xiong, Xavier Hu, Yurun Chen et al. · arXiv.org · 5 citations

#machine learning Preprint Jul 2026

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 gen...

Zhuohang Fan, Beichen Zhang, Yuanfa Li et al. · 0 citations