arxiv
PublishedMay 29, 2026 at 4:00 AM
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Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
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arXiv:2605.29447v1 Announce Type: cross 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-dr
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Originally published on arxiv ↗