GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning
GUI-SAGE generates reasoning conditioned on known actions and weights policy updates using confidence and reward signals. Its experiments use AndroidControl and GUIOdyssey data and separately evaluate interactive AndroidWorld tasks.
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- Resource type
- Research papers
- Environment
- android
- Topics
- reinforcement-learning, data-generation, evaluation, robustness
- Record publication date
- 2026-06
- Evidence retrieved
- 2026-10-17T09:53:48+00:00
- Resource ID
- url:beb8f1fd6b945ffc9d93
Authors
Fei Tang, Zhangxuan Gu, Zhengxi Lu, Shangzhan Zhang, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Yuchen Yan, Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang
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Publication record
- Title
- GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning
- Authors
- Fei Tang, Zhangxuan Gu, Zhengxi Lu, Shangzhan Zhang, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Yuchen Yan, Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang
- Publication date (recorded precision)
- 2026-06
- Venue
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Pages
- 13007-13016
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Publication BibTeX · Publication CSL JSON
Date source: Explicit publisher metadata: month = {June}, year = {2026}; precision=month.
Source notes: CVF open-access accepted version; PDF states that the final proceedings version is on IEEE Xplore.
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