Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
Graphical user interface (GUI) grounding, the ability to map natural language instructions to specific actions on graphical user interfaces, remains a critical bottleneck in computer use agent development. Current benchmarks oversimplify grounding tasks as short referring expressions, failing to capture the complexity of real-world interactions that require software commonsense, layout understanding, and fine-grained manipulation capabilities. To address these limitations, we introduce OSWorld-G, a comprehensive benchmark comprising 564 finely annotated samples across diverse task types including text matching, element recognition, layout understanding, and precise manipulation. Additionally, we synthesize and release the largest computer use grounding dataset Jedi, which contains 4 million examples through multi-perspective decoupling of tasks. Our multi-scale models trained on Jedi demonstrate its effectiveness by outperforming existing approaches on ScreenSpot-v2, ScreenSpot-Pro, and our OSWorld-G. Furthermore, we demonstrate that improved grounding with Jedi directly enhances agentic capabilities of general foundation models on complex computer tasks, improving from 5% to 27% on OSWorld. Through detailed ablation studies, we identify key factors contributing to grounding performance and verify that combining specialized data for different interface elements enables compositional generalization to novel interfaces. All benchmark, data, checkpoints, and code are open-sourced and available at https://osworld-grounding.github.io.
Key facts. Cited by 139 papers in the map (data through 14 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 40 of its 53 references that are in the map. First posted on arXiv 19 May 2025.
Builds on
40 of 53 references.
Closest ancestors · 13
Same direction, newest first
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- 2024Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale12 Sep
- 2024GUICourse: From General Vision Language Models to Versatile GUI Agents17 Jun
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- 2024On the Effects of Data Scale on UI Control Agents6 Jun
- 2024Android in the Zoo: Chain-of-Action-Thought for GUI Agents5 Mar
- 2024OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web27 Feb
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
1 more
Other references · 27
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- 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,745
- 2020DocVQA: A Dataset for VQA on Document Imagescited by 1,317
- 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,251
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,242
- 2024MiniCPM-V: A GPT-4V Level MLLM on Your Phonecited by 1,079
- 2024How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suitescited by 1,050
- 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 783
- 2024GPT-4V(ision) is a Generalist Web Agent, if Groundedcited by 563
- 2022MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledgecited by 478
- 2025Seed1.5-VL Technical Reportcited by 373
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- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 284
- 2024Aguvis: Unified Pure Vision Agents for Autonomous GUI Interactioncited by 278
- 2024Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Modelscited by 268
- 2024WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learningcited by 256
- 2024OmniParser for Pure Vision Based GUI Agentcited by 198
- 2020Mapping Natural Language Instructions to Mobile UI Action Sequencescited by 181
- 2024Aria-UI: Visual Grounding for GUI Instructionscited by 140
- 2020Widget Captioning: Generating Natural Language Description for Mobile User Interface Elementscited by 95
- 2021UIBert: Learning Generic Multimodal Representations for UI Understandingcited by 95
- 2021AndroidEnv: A Reinforcement Learning Platform for Androidcited by 90
- 2025UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interactioncited by 77
- 2023WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semanticscited by 47
- 2025OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Modelscited by 23
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Citing papers per year: 2025: 52; 2026: 87.
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12 most cited of 67 All 67 (JSON)
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- 2026Seg2Click: Learning Pixel-Level Action Masks for GUI Visual Grounding12 Oct 2026
- 2026ConClick: Element-Wise Contrastive Learning Improves GUI Grounding9 Oct 2026
- 2026DeskForge: Dense Supervision from Desktop Environments for Computer-Use Agents1 Oct 2026
- 2026AnyAct: Universal Action for Self-Evolving Agents29 Sep 2026
- 2026AdaptArena: Evaluating Test-Time Personalization of Web Agents29 Sep 2026
- 2026Train4Merge: A Controlled Single-Teacher Study of RL vs. SFT Teachers for OPD-Based Model Merging26 Sep 2026
- 2026LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents9 Sep 2026
- 2026UI-Venus-2 Technical Report27 Aug 2026
- 2026Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-Distillation11 Aug 2026
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- 2026Recurrent Latent Visual Search for GUI Grounding4 Oct 2026
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- 2026PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models27 Jul 2026
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- 2026Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents30 Jun 2026
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- 2026Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining14 May 2026
- 2026AutoFocus: Uncertainty-Aware Active Visual Search for GUI Grounding4 May 2026
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- 2026Rethinking Inference-Time Scaling in Local Computer-Use Agents: Failure Modes and Compute Tradeoffs30 Jul 2026
- 2026WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark4 Jun 2026
- 2026GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models15 Apr 2026
- 2026TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning23 Jan 2026
- 2025Chain-of-Ground: Improving GUI Grounding via Iterative Reasoning and Reference Feedback1 Dec 2025
- 2025Learning GUI Grounding with Spatial Reasoning from Visual Feedback25 Sep 2025
- 2025GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware Reasoning19 Sep 2025
- 2025How Auxiliary Reasoning Unleashes GUI Grounding in VLMs15 Sep 2025
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- 2025GUI-G2: Gaussian Reward Modeling for GUI Grounding21 Jul 2025
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- 2025CoAct-1: Computer-using Multi-Agent System with Coding Actionscited by 35
- 2026STEP3-VL-10B Technical Reportcited by 32
- 2025How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupationscited by 19
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- 2025Watch and Learn: Learning to Use Computers from Online Videoscited by 9
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- 2026Qwen-CUA: Native Computer Use for (almost) Everythingcited by 8
- 2025V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peakingcited by 6
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12 most cited of 24 All 24 (JSON)
- 2026Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding14 Sep 2026
- 2026DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?11 Aug 2026
- 2026Qwen-CUA: Native Computer Use for (almost) Everything3 Aug 2026
- 2026One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding29 Jun 2026
- 2026WinDOM: Self-Family Distillation for Small-Model GUI Grounding24 Jun 2026
- 2026The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability28 May 2026
- 2026What Happens Before Decoding? Prefill Determines GUI Grounding in VLMs10 May 2026
- 2026AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark27 Apr 2026
- 2026UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding15 Apr 2026
- 2026LongCat-Next: Lexicalizing Modalities as Discrete Tokens29 Mar 2026
- 2026K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control28 Feb 2026
- 2026POINTS-GUI-G: GUI-Grounding Journey6 Feb 2026
12 newest of 24 All 24 (JSON)
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