PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control
The paper introduces PAGER, a new agent designed to improve point-precise geometric GUI control. It addresses the challenges of executing actions that require high precision in graphical user interfaces. PAGER demonstrates significant improvements in task success rates compared to existing models, establishing a new standard in this area.
- ▪PAGER aims to bridge the Semantic-Execution Gap in point-precise geometric GUI control.
- ▪The agent utilizes dependency-structured planning and pixel-level execution to enhance accuracy.
- ▪PAGER achieves a task success rate of over 62%, significantly higher than previous models.
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Computer Science > Artificial Intelligence arXiv:2605.15963 (cs) [Submitted on 15 May 2026] Title:PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control Authors:Jingxuan Wei, Xi Bai, Shan Liu, Caijun Jia, Zheng Sun, Xinglong Xu, Siyuan Li, Linzhuang Sun, Bihui Yu, Conghui He, Cheng Tan View a PDF of the paper titled PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control, by Jingxuan Wei and 10 other authors View PDF HTML (experimental) Abstract:Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a forgiving region-tolerant paradigm, where many nearby pixels inside the same component remain valid.
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