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English(EN) AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions

AutoRPA 框架将 LLM 代理逻辑转换为高效 RPA 功能

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了 AutoRPA，一个将基于 LLM 的代理的决策逻辑转换为高效机器人流程自动化 (RPA) 功能的框架。该方法解决了为重复性 GUI 任务反复调用 LLM 推理的低效问题。AutoRPA 利用翻译器-构建器管道和混合修复策略来合成健壮的 RPA 功能，显著提高了运行时效率和可重用性，同时大幅减少了 token 使用量。 AI

影响 通过将 LLM 决策逻辑转换为高效 RPA 来自动化重复性 GUI 任务，减少了 token 使用量并提高了运行时效率。

排序理由 该集群描述了一篇详细介绍 LLM 驱动的代码合成新颖框架的新研究论文。

在 arXiv cs.AI 阅读 →

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AutoRPA 框架将 LLM 代理逻辑转换为高效 RPA 功能

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Minghao Chen, Xinyi Hu, Zhou Yu, Yufei Yin ·

    AutoRPA：通过 LLM 驱动的交互式代码合成实现高效 GUI 自动化

    arXiv:2605.21082v1 Announce Type: new Abstract: Large Language Model (LLM) based agents have demonstrated proficiency in multi-step interactions with graphical user interfaces (GUIs). While most research focuses on improving single-task performance, practical scenarios often invo…

  2. arXiv cs.AI TIER_1 English(EN) · Yufei Yin ·

    AutoRPA：通过 LLM 驱动的交互式代码合成实现高效 GUI 自动化

    Large Language Model (LLM) based agents have demonstrated proficiency in multi-step interactions with graphical user interfaces (GUIs). While most research focuses on improving single-task performance, practical scenarios often involve repetitive GUI tasks for which invoking LLM …

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    AutoRPA：通过 LLM 驱动的交互式代码合成实现高效 GUI 自动化

    Large Language Model (LLM) based agents have demonstrated proficiency in multi-step interactions with graphical user interfaces (GUIs). While most research focuses on improving single-task performance, practical scenarios often involve repetitive GUI tasks for which invoking LLM …

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