UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents
Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task execution toward cross-platform interaction. However, unified multi-platform GUI learning remains challenging: high-quality cross-platform trajectories remain scarce, while platforms share transferable capabilities but differ in action semantics and interaction conventions. Naively mixing supervision or merging specialized models can blur native behaviors and produce imbalanced performance. To address these challenges, we construct Uni-GUI, a high-quality dataset containing nearly 10K executable cross-platform interaction trajectories collected through a unified desktop-mobil...
| Authors | Niu Lian, Tongbo Chen, Zhehao Yu et al. |
|---|---|
| Primary category | cs.CL |
| Published | 5 July 2026 |
| Last updated at source | 10 August 2026 |
Connected in the knowledge graph
- UI-MOPD/Uni-GUI-Desktop-2Dataset · cited by
- UI-MOPD/Uni-GUI-OpenMobileDataset · cited by
- UI-MOPD/MobileWorld-Eval-ResultsDataset · cited by
- UI-MOPD/OSWorld-Eval-ResultsDataset · cited by
- UI-MOPD/Uni-GUI-MobileDataset · cited by
- UI-MOPD/AndroidControl-StarDataset · cited by
- UI-MOPD/Uni-GUI-OpenCUADataset · cited by
- UI-MOPD/Uni-GUI-Desktop-1Dataset · cited by
Models and datasets referencing this paper
- UI-MOPD/Uni-GUI-MobileDataset
- UI-MOPD/Uni-GUI-Desktop-1Dataset
- UI-MOPD/Uni-GUI-OpenMobileDataset
- UI-MOPD/Uni-GUI-Desktop-2Dataset
- UI-MOPD/Uni-GUI-OpenCUADataset
- UI-MOPD/MobileWorld-Eval-ResultsDataset
- UI-MOPD/OSWorld-Eval-ResultsDataset
- UI-MOPD/AndroidControl-StarDataset
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