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arXiv · 2608.11588

CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications

Linqiang Guo·Li Gu·Zihuan Jiang·Zhixiang Chi·Siobhan Reid·Ziqiang Wang·Yuanhao Yu·Wei Liu·Yang Wang·Tse-Hsun·Chen
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Abstract

Mobile GUI agents remain brittle when deployed to applications absent from source training. We study novel-app generalization under a limited target interaction budget and without target demonstrations. We introduce CoAdapt-GUI, a test-time adaptation (TTA) framework that jointly adapts structured workflow context and policy from the agent's own target-app rollouts and rewards. The workflow context retains transferable procedures, failure modes, and verification rules while excluding app-bound source details. This separation allows reusable workflow knowledge to guide adaptation without transferring source-interface state. For policy adaptation, task-context-matched group-relative optimization updates a LoRA adapter on a frozen vision-language model. Across two unseen-app evaluations, CoAdapt-GUI reaches 45.0% on AndroidWorld-Generalization, compared with 37.5% for the reported Policy-Only TTA baseline, and raises AndroidWorld Plus performance from 38.6% to 52.9%. These results show that transfer-constrained workflow context provides substantial gains and that joint policy adaptation further improves held-out performance.

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Linqiang Guo, Li Gu, Zihuan Jiang, Zhixiang Chi, Siobhan Reid, Ziqiang Wang, Yuanhao Yu, Wei Liu, Yang Wang, Tse-Hsun, Chen. 2026-08-12. CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications. https://arxiv.org/abs/2608.11588

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