Summary of Large Language Model-brained Gui Agents: a Survey, by Chaoyun Zhang et al.
Large Language Model-Brained GUI Agents: A Survey
by Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
First submitted to arxiv on: 27 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); 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 In this paper, researchers explore the intersection of Large Language Models (LLMs) and Graphical User Interfaces (GUIs), revealing the potential for LLM-brained GUI agents to revolutionize human-computer interaction. By leveraging multimodal models’ natural language understanding, code generation, and visual processing capabilities, these agents can autonomously execute actions based on user commands, enabling intuitive task completion through simple conversational interfaces. The applications of this technology span across web navigation, mobile app interactions, and desktop automation, promising a transformative user experience. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using computers in a new way. Right now, we use graphical interfaces to interact with digital systems, but soon we’ll be able to talk to our computers like we’re talking to a friend! Large Language Models are super smart computers that can understand and generate human language. When combined with graphical user interfaces, they can do things on your computer just by listening to what you say. This will change the way we use software forever. |
Keywords
» Artificial intelligence » Language understanding
