Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents 事件

Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents arXiv:2605.29447v1 Announce Type: new Abstract: 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 introduce GUI-RobustEval and propose Robustness-driven Trajectory Synthesis. GUI-RobustEval contains $1,216$ executable test cases that systematically measur