AI RESEARCH
Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
arXiv CS.CV
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ArXi:2605.29447v1 Announce Type: new While GUI agents have advanced rapidly, they often lack the robustness to recover from their own errors, hindering real-world deployment. To bridge this gap at both the evaluation and data levels, we