AppAgent: LLM代理像人类一样学会使用智能手机应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-07 04:00

研究人员开发了AppAgent，一个新颖的框架，使基于大型语言模型的模态代理能够操作智能手机应用程序。该代理模仿人类的点击和滑动等交互方式，无需直接访问系统后端。AppAgent通过自主探索或观察人类演示来学习导航和使用新应用，并为复杂的跨应用任务构建知识库。在10个应用程序和50个任务上的广泛测试证明了其处理各种高级操作的能力。 AI

影响该框架可以实现更复杂的AI助手，能够在各种移动应用程序中执行复杂任务。

排序理由该集群包含一篇详细介绍新AI框架的学术论文。[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 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 69 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Chi Zhang, Zhao Yang, Jiaxuan Liu, Yanda Li, Yucheng Han, Xin Chen, Zebiao Huang, Bin Fu, Gang Yu · 2026-07-07 04:00

AppAgent：多模态智能体如智能手机用户

arXiv:2312.13771v3 Announce Type: replace Abstract: Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smart…

本文如何被排名

报道来源 [1]

AppAgent：多模态智能体如智能手机用户

相关实体

相关话题