InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
On the map: LLM reasoning → Multimodal reasoning
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Abstract (arXiv)
Graphical User Interface (GUI) Agents, powered by multimodal large language models (MLLMs), have shown great potential for task automation on computing devices such as computers and mobile phones. However, existing agents face challenges in multi-step reasoning and reliance on textual annotations, limiting their effectiveness. We introduce textitInfiGUIAgent, an MLLM-based GUI Agent trained with a two-stage supervised fine-tuning pipeline. Stage 1 enhances fundamental skills such as GUI understanding and grounding, while Stage 2 integrates hierarchical reasoning and expectation-reflection reasoning skills using synthesized data to enable native reasoning abilities of the agents. textitInfiGUIAgent achieves competitive performance on several GUI benchmarks, highlighting the impact of native reasoning skills in enhancing GUI interaction for automation tasks. Resources are available at urlhttps://github.com/Reallm-Labs/InfiGUIAgent.
Key facts. Cited by 67 papers in the map (data through 7 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 49 of its 67 references that are in the map. First posted on arXiv 8 Jan 2025.
Builds on
49 of 67 references.
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Other references · 48
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- 2021UIBert: Learning Generic Multimodal Representations for UI Understandingcited by 93
- 2023Agent Lumos: Unified and Modular Training for Open-Source Language Agentscited by 72
- 2022ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshotscited by 65
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- 2023ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversationscited by 17
- 2024Leveraging Print Debugging to Improve Code Generation in Large Language Modelscited by 15
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Citing papers per year: 2025: 40; 2026: 27.
67 papers.
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- 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behaviorcited by 22
- 2025Evaluating the Robustness of Multimodal Agents Against Active Environmental Injection Attackscited by 21
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- 2026Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correctioncited by 14
- 2025Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalizationcited by 11
- 2025Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling Systemcited by 11
- 2025History-Aware Reasoning for GUI Agentscited by 11
- 2026Toward Efficient Agents: Memory, Tool learning, and Planningcited by 11
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- 2025MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operationcited by 9
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- 2026MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environmentcited by 4
- 2025Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbationscited by 3
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- 2025GUI-Rise: Structured Reasoning and History Summarization for GUI Navigationcited by 3
- 2025Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agentscited by 3
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- 2026CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuningcited by 3
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50 most cited of 67 All 67 (JSON)
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- 2026Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification28 Jul 2026
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- 2026PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control15 May 2026
- 2026Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability8 May 2026
- 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length4 May 2026
- 2026GUI Agents with Reinforcement Learning: Toward Digital Inhabitants30 Apr 2026
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- 2026CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning3 Mar 2026
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- 2026ST-Lite: Training-Free KV Cache Compression with Spatio-Trajectory Guidance for Long-Horizon GUI Agents27 Feb 2026
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- 2026MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment28 Jan 2026
- 2026Towards Pixel-Level VLM Perception via Simple Points Prediction27 Jan 2026
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- 2026GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents14 Jan 2026
- 2025GAIR: GUI Automation via Information-Joint Reasoning and Group Reflection10 Dec 2025
- 2025From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models17 Nov 2025
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- 2025Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs1 Oct 2025
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- 2025GUI-Shepherd: Reliable Process Reward and Verification for Long-Sequence GUI Tasks28 Sep 2025
- 2025GUI-PRA: Process Reward Agent for GUI Tasks27 Sep 2025
- 2025See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles17 Sep 2025
- 2025Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration14 Sep 2025
- 2025Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control1 Sep 2025
- 2025HarmonyGuard: Toward Safety and Utility in Web Agents via Adaptive Policy Enhancement and Dual-Objective Optimization6 Aug 2025
- 2025MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation21 Jul 2025
- 2025Beyond Syntax: Action Semantics Learning for App Agents21 Jun 2025
- 2025Towards Pervasive Distributed Agentic Generative AI -- A State of The Art16 Jun 2025
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- 2025Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System10 Jun 2025
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- 2025OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agentscited by 25
- 2025BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanismcited by 25
- 2025Evaluating the Robustness of Multimodal Agents Against Active Environmental Injection Attackscited by 21
- 2026SkillTrojan: Backdoor Attacks on Skill-Based Agent Systemscited by 21
- 2025UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoningcited by 20
- 2026Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correctioncited by 14
- 2025Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalizationcited by 11
- 2025Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling Systemcited by 11
- 2026Toward Efficient Agents: Memory, Tool learning, and Planningcited by 11
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12 most cited of 31 All 31 (JSON)
- 2026Efficient GUI Agents: A Systems Survey of Observation, Memory, Action, and Runtime Optimization2 Sep 2026
- 2026HxAgent: Iterative Agent Planning for End-to-End Web Application Testing16 Aug 2026
- 2026Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification28 Jul 2026
- 2026Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation23 Jun 2026
- 2026Self-evolving LLM agents with in-distribution Optimization5 Jun 2026
- 2026Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability8 May 2026
- 2026GUI Agents with Reinforcement Learning: Toward Digital Inhabitants30 Apr 2026
- 2026SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems8 Apr 2026
- 2026Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction7 Apr 2026
- 2026Adaptive Milestone Reward for GUI Agents12 Feb 2026
- 2026MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment28 Jan 2026
- 2026Toward Efficient Agents: Memory, Tool learning, and Planning20 Jan 2026
12 newest of 31 All 31 (JSON)
- 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behaviorcited by 22
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- 2025AppVLM: A Lightweight Vision Language Model for Online App Controlcited by 15
- 2026GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agentscited by 9
- 2025Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphscited by 7
- 2026Towards Pixel-Level VLM Perception via Simple Points Predictioncited by 5
- 2026CUAAudit: Meta-Evaluation of Vision-Language Models as Auditors of Autonomous Computer-Use Agentscited by 3
- 2025DPO Learning with LLMs-Judge Signal for Computer Use Agentscited by 2
- 2025GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI Taskscited by 1
- 2026PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Controlcited by 1
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- 2026CUAAudit: Meta-Evaluation of Vision-Language Models as Auditors of Autonomous Computer-Use Agents11 Mar 2026
- 2026Towards Pixel-Level VLM Perception via Simple Points Prediction27 Jan 2026
- 2026GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents14 Jan 2026
- 2025GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI Tasks30 Oct 2025
- 2025MGA: Memory-Driven GUI Agent for Observation-Centric Interaction28 Oct 2025
- 2025A Survey on Agentic Multimodal Large Language Models13 Oct 2025
- 2025Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs1 Oct 2025
- 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior9 Jun 2025
- 2025DPO Learning with LLMs-Judge Signal for Computer Use Agents3 Jun 2025
- 2025AppVLM: A Lightweight Vision Language Model for Online App Control10 Feb 2025
- 2025InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasonerscited by 140
- 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 47
- 2025Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Modelscited by 43
- 2025History-Aware Reasoning for GUI Agentscited by 11
- 2025GUI-Rise: Structured Reasoning and History Summarization for GUI Navigationcited by 3
- 2026GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Modelscited by 2
- 2025InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoningcited by 1
- 2025From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Modelscited by 1
- 2026Task-Adaptive Rubrics for GUI Reward Modelingcited by 1
- 2025GAIR: GUI Automation via Information-Joint Reasoning and Group Reflectioncited by 0
- 2026Task-Adaptive Rubrics for GUI Reward Modeling25 Aug 2026
- 2026GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models26 Jan 2026
- 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents18 Jan 2026
- 2025GAIR: GUI Automation via Information-Joint Reasoning and Group Reflection10 Dec 2025
- 2025From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models17 Nov 2025
- 2025History-Aware Reasoning for GUI Agents12 Nov 2025
- 2025GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation31 Oct 2025
- 2025Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models30 Apr 2025
- 2025InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners19 Apr 2025
- 2025InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning17 Feb 2025
- 2025Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systemscited by 23
- 2025Navi-plus: Managing Ambiguous GUI Navigation Tasks with Follow-up Questionscited by 8
- 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Lengthcited by 5
- 2025See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Togglescited by 4
- 2025Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbationscited by 3
- 2026POINTS-GUI-G: GUI-Grounding Journeycited by 3
- 2026CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuningcited by 3
- 2026K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Controlcited by 2
- 2026Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Groundingcited by 2
- 2026CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervisioncited by 1
- 2025Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Controlcited by 0
- 2026ChartAct: A Benchmark for Dynamic Chart Understandingcited by 0
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- 2026CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision19 May 2026
- 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length4 May 2026
- 2026Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding23 Apr 2026
- 2026CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning3 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
- 2025Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations1 Oct 2025
- 2025See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles17 Sep 2025
- 2025Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control1 Sep 2025
- 2025Navi-plus: Managing Ambiguous GUI Navigation Tasks with Follow-up Questions31 Mar 2025
- 2025Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems9 Mar 2025
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