SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
Graphical User Interface (GUI) agents are designed to automate complex tasks on digital devices, such as smartphones and desktops. Most existing GUI agents interact with the environment through extracted structured data, which can be notably lengthy (e.g., HTML) and occasionally inaccessible (e.g., on desktops). To alleviate this issue, we propose a novel visual GUI agent -- SeeClick, which only relies on screenshots for task automation. In our preliminary study, we have discovered a key challenge in developing visual GUI agents: GUI grounding -- the capacity to accurately locate screen elements based on instructions. To tackle this challenge, we propose to enhance SeeClick with GUI grounding pre-training and devise a method to automate the curation of GUI grounding data. Along with the efforts above, we have also created ScreenSpot, the first realistic GUI grounding benchmark that encompasses mobile, desktop, and web environments. After pre-training, SeeClick demonstrates significant improvement in ScreenSpot over various baselines. Moreover, comprehensive evaluations on three widely used benchmarks consistently support our finding that advancements in GUI grounding directly correlate with enhanced performance in downstream GUI agent tasks. The model, data and code are available at https://github.com/njucckevin/SeeClick.
Key facts. Cited by 553 papers in the map (data through 7 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 40 of its 57 references that are in the map. First posted on arXiv 17 Jan 2024.
Builds on
40 of 57 references.
Closest ancestors · 2
Same direction, newest first
- 2023CogAgent: A Visual Language Model for GUI Agents14 Dec
- 2023You Only Look at Screens: Multimodal Chain-of-Action Agents20 Sep
Other references · 38
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Citing papers per year: 2024: 77; 2025: 237; 2026: 239.
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