Summary of Mobileexperts: a Dynamic Tool-enabled Agent Team in Mobile Devices, by Jiayi Zhang et al.
MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices
by Jiayi Zhang, Chuang Zhao, Yihan Zhao, Zhaoyang Yu, Ming He, Jianping Fan
First submitted to arxiv on: 4 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces MobileExperts, a novel approach to achieve autonomous operations on mobile devices by leveraging Large Language Models (LLMs) and Visual Language Models (VLMs). The authors address limitations in current research, which can only handle simple tasks, by introducing tool formulation and multi-agent collaboration. Specifically, MobileExperts assembles teams based on agent portraits aligning with human requirements, allowing each agent to evolve into an expert through independent exploration. A dual-layer planning mechanism enables coordinate collaboration among experts. The authors validate their approach using a new benchmark of hierarchical intelligence levels, demonstrating improved performance across complexity levels and achieving a 22% reduction in reasoning costs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MobileExperts is a new way to make mobile devices work on their own better. Right now, computers can only do simple tasks like sending emails or browsing the internet, but humans want them to be able to do more complicated things too. The researchers came up with a plan to make this happen by letting different parts of the computer work together like a team. Each part gets a special job and works on its own before sharing its results with others. This helps the computer figure out how to solve problems more efficiently, which is important for making devices smarter. |
