GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices
Not on the map. Why?
Cited by 146 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Autonomous Graphical User Interface (GUI) navigation agents can enhance user experience in communication, entertainment, and productivity by streamlining workflows and reducing manual intervention. However, prior GUI agents often trained with datasets comprising tasks that can be completed within a single app, leading to poor performance in cross-app navigation. To address this problem, we present GUIOdyssey, a comprehensive dataset for cross-app mobile GUI navigation. GUIOdyssey comprises 8,334 episodes with an average of 15.3 steps per episode, covering 6 mobile devices, 212 distinct apps, and 1,357 app combinations. Each step is enriched with detailed semantic reasoning annotations, which aid the model in building cognitive processes and enhancing its reasoning abilities for complex cross-app tasks. Building on GUIOdyssey, we develop OdysseyAgent, an exploratory multimodal agent for long-step cross-app navigation equipped with a history resampler module that efficiently attends to historical screenshot tokens, balancing performance and inference speed. Extensive experiments conducted in both in-domain and out-of-domain scenarios validate the effectiveness of our approach. Moreover, we demonstrate that historial information involving actions, screenshots and context in our dataset can significantly enhances OdysseyAgent's performance on complex cross-app tasks.
Key facts. Cited by 190 papers in the map (data through 7 Oct 2026). Builds on 50 of its 73 references that are in the map. First posted on arXiv 12 Jun 2024.
Builds on
50 of 73 references.
References · 50
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- 2024ScreenAI: A Vision-Language Model for UI and Infographics Understandingcited by 97
- 2021UIBert: Learning Generic Multimodal Representations for UI Understandingcited by 93
- 2022META-GUI: Towards Multi-modal Conversational Agents on Mobile GUIcited by 81
- 2023From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfacescited by 67
- 2024Understanding the Weakness of Large Language Model Agents within a Complex Android Environmentcited by 60
- 2023Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generationcited by 38
- 2021Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environmentscited by 28
- 2022UGIF: UI Grounded Instruction Followingcited by 25
- 2024Self-Refine Instruction-Tuning for Aligning Reasoning in Language Modelscited by 24
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Citing papers per year: 2024: 15; 2025: 83; 2026: 92.
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