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English(EN) STP-GUI: Spatially-Aware Token Pruning for Efficient Web-GUI Agents

新的 STP-GUI 方法提高了 Web-GUI 代理的效率

研究人员开发了 STP-GUI,一个用于高效 Web-GUI 代理的新型框架,解决了高分辨率屏幕截图中视觉令牌过多的问题。与之前独立修剪令牌的方法不同,STP-GUI 采用了一种由查询驱动的、空间连贯的窗口级选择方法。该方法在保持局部视觉结构(对识别 GUI 元素至关重要)的同时,保留了细粒度的指令条件评分。实验表明,STP-GUI 在效率-性能之间取得了有利的权衡,在性能下降最小的情况下显著降低了推理延迟和 FLOPs,并有望迁移到移动 GUI 环境中。 AI

影响 这项研究可能带来更高效、响应更快的 AI 代理,用于与 Web 和移动界面进行交互。

排序理由 详细介绍 AI 代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的 STP-GUI 方法提高了 Web-GUI 代理的效率

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详细介绍 AI 代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shuo Wang, Sifan Zhou, Xiaobo Wang, Tianyu Fu, Chenxu Zhao, Anyang Su, Hanning Wang, Ping Jiang, Minghui Wu ·

    STP-GUI:用于高效 Web-GUI 代理的空间感知令牌修剪

    arXiv:2610.20390v1 Announce Type: new Abstract: With the rapid development of vision-language models (VLMs), Web-GUI agents have achieved promising performance in interacting with real-world interfaces through screenshot-based grounding. However, high-resolution screenshots and m…