Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
Developing autonomous agents that effectively interact with Graphic User Interfaces (GUIs) remains a challenging open problem, especially for small on-device models. In this paper, we present Ferret-UI Lite, a compact, end-to-end GUI agent that operates across diverse platforms, including mobile, web, and desktop. Utilizing techniques optimized for developing small models, we build our 3B Ferret-UI Lite agent through curating a diverse GUI data mixture from real and synthetic sources, strengthening inference-time performance through chain-of-thought reasoning and visual tool-use, and reinforcement learning with designed rewards. Ferret-UI Lite achieves competitive performance with other small-scale GUI agents. In GUI grounding, Ferret-UI Lite attains scores of 91.6%, 53.3%, and 61.2% on the ScreenSpot-V2, ScreenSpot-Pro, and OSWorld-G benchmarks, respectively. For GUI navigation, Ferret-UI Lite achieves success rates of 28.0% on AndroidWorld and 19.8% on OSWorld. We share our methods and lessons learned from developing compact, on-device GUI agents.
Key facts. Cited by 14 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 61 of its 67 references that are in the map. First posted on arXiv 30 Sep 2025.
Builds on
61 of 67 references.
Closest ancestors · 22
Same direction, newest first
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- 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents21 May
- 2025Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis19 May
- 2025Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning18 May
- 2025InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners19 Apr
- 2025TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents17 Apr
- 2025GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents14 Apr
- 2025ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use4 Apr
- 2025Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents1 Apr
10 more
- 2025UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning27 Mar
- 2025UI-TARS: Pioneering Automated GUI Interaction with Native Agents21 Jan
- 2024OS-ATLAS: A Foundation Action Model for Generalist GUI Agents30 Oct
- 2024Agent S: An Open Agentic Framework that Uses Computers Like a Human10 Oct
- 2024Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents7 Oct
- 2024On the Effects of Data Scale on UI Control Agents6 Jun
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments11 Apr
- 2024Android in the Zoo: Chain-of-Action-Thought for GUI Agents5 Mar
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
- 2023CogAgent: A Visual Language Model for GUI Agents14 Dec
Other references · 39
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- 2023InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Taskscited by 2,534
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- 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
- 2025Kimi-VL Technical Reportcited by 381
- 2025Seed1.5-VL Technical Reportcited by 367
- 2023Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4Vcited by 291
- 2024Aguvis: Unified Pure Vision Agents for Autonomous GUI Interactioncited by 271
- 2024Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoningcited by 267
- 2025Small Language Models are the Future of Agentic AIcited by 254
- 2023FireAct: Toward Language Agent Fine-tuningcited by 247
- 2024GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devicescited by 190
- 2024Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMscited by 173
- 2024Agent AI: Surveying the Horizons of Multimodal Interactioncited by 167
- 2023GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigationcited by 137
- 2024Aria-UI: Visual Grounding for GUI Instructionscited by 136
- 2025GRIT: Teaching MLLMs to Think with Imagescited by 121
- 2025GTA1: GUI Test-time Scaling Agentcited by 102
- 2024MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuningcited by 75
- 2025GUI-G2: Gaussian Reward Modeling for GUI Groundingcited by 60
- 2024Ferret-UI 2: Mastering Universal User Interface Understanding Across Platformscited by 51
- 2024MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understandingcited by 46
- 2023WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semanticscited by 45
- 2024AgentStudio: A Toolkit for Building General Virtual Agentscited by 45
- 2025Apple Intelligence Foundation Language Models: Tech Report 2025cited by 25
- 2025Scaling Synthetic Task Generation for Agents via Explorationcited by 19
- 2025InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interactioncited by 7
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Citing papers per year: 2025: 3; 2026: 11.
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- 2026GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL25 Feb 2026
- 2026POINTS-GUI-G: GUI-Grounding Journey6 Feb 2026
- 2026UI-Mem: Self-Evolving Experience Memory for Online Reinforcement Learning in Mobile GUI Agents5 Feb 2026
- 2025MAI-UI Technical Report: Real-World Centric Foundation GUI Agents26 Dec 2025
2 more
- 2025MAI-UI Technical Report: Real-World Centric Foundation GUI Agentscited by 88
- 2025UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Actioncited by 30
- 2026GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RLcited by 14
- 2026UI-Mem: Self-Evolving Experience Memory for Online Reinforcement Learning in Mobile GUI Agentscited by 11
- 2026UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experiencecited by 11
- 2026Step-level Optimization for Efficient Computer-use Agentscited by 7
- 2026MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agentscited by 2
- 2026Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agentscited by 1
- 2026MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents13 Jul 2026
- 2026Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents27 May 2026
- 2026Step-level Optimization for Efficient Computer-use Agents29 Apr 2026
- 2026UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience25 Mar 2026
- 2026GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL25 Feb 2026
- 2026UI-Mem: Self-Evolving Experience Memory for Online Reinforcement Learning in Mobile GUI Agents5 Feb 2026
- 2025MAI-UI Technical Report: Real-World Centric Foundation GUI Agents26 Dec 2025
- 2025UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action20 Oct 2025
- 2026MintAct: A Unified Visual Agent for Digital Environments18 Sep 2026
- 2025SO-Bench: A Structural Output Evaluation of Multimodal LLMs23 Nov 2025
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