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pith:Y4CLHGPB

pith:2024:Y4CLHGPBMYXO2I43ZRXH3JHZIW
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Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Fei Huang, Haiyang Xu, Jiabo Ye, Jitao Sang, Ji Zhang, Junyang Wang, Ming Yan, Weizhou Shen

Mobile-Agent operates mobile apps by visually identifying screen elements instead of using system metadata.

arxiv:2401.16158 v2 · 2024-01-29 · cs.CL · cs.CV

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Claims

C1strongest claim

Mobile-Agent achieved remarkable accuracy and completion rates. Even with challenging instructions, such as multi-app operations, Mobile-Agent can still complete the requirements.

C2weakest assumption

That visual perception tools can accurately and reliably identify and locate both visual and textual elements within diverse app front-end interfaces across different mobile operating environments without significant errors or the need for system-specific adjustments.

C3one line summary

Mobile-Agent is a vision-centric autonomous agent that uses MLLMs to perceive UI elements, plan complex multi-step tasks, and operate mobile apps without relying on XML or system metadata, showing strong results on the introduced Mobile-Eval benchmark.

References

13 extracted · 13 resolved · 7 Pith anchors

[1] Modelscope-agent: Building your customizable agent system with open-source large language models
[2] Controlllm: Augment language models with tools by searching on graphs
[3] Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models · arXiv:2303.04671
[4] Gpt4tools: Teaching large lan- guage model to use tools via self-instruction
[5] MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action · arXiv:2303.11381

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Cited by

18 papers in Pith

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c704b399e1662eed239bcc6e7da4f945b172336b19d0aba74b44dc1737aaad43

Aliases

arxiv: 2401.16158 · arxiv_version: 2401.16158v2 · doi: 10.48550/arxiv.2401.16158 · pith_short_12: Y4CLHGPBMYXO · pith_short_16: Y4CLHGPBMYXO2I43 · pith_short_8: Y4CLHGPB
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Canonical record JSON
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