AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
AI agents have drawn increasing attention mostly on their ability to perceive environments, understand tasks, and autonomously achieve goals. To advance research on AI agents in mobile scenarios, we introduce the Android Multi-annotation EXpo (AMEX), a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents which are capable of completing tasks by directly interacting with the graphical user interface (GUI) on mobile devices. AMEX comprises over 104K high-resolution screenshots from popular mobile applications, which are annotated at multiple levels. Unlike existing GUI-related datasets, e.g., Rico, AitW, etc., AMEX includes three levels of annotations: GUI interactive element grounding, GUI screen and element functionality descriptions, and complex natural language instructions with stepwise GUI-action chains. We develop this dataset from a more instructive and detailed perspective, complementing the general settings of existing datasets. Additionally, we finetune a baseline model SPHINX Agent and illustrate the effectiveness of AMEX.The project is available at https://yxchai.com/AMEX/.
Key facts. Cited by 110 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 37 of its 50 references that are in the map. First posted on arXiv 3 Jul 2024.
Builds on
37 of 50 references.
Closest ancestors · 8
Same direction, newest first
- 2024On the Effects of Data Scale on UI Control Agents6 Jun
- 2024Android in the Zoo: Chain-of-Action-Thought for GUI Agents5 Mar
- 2024CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation19 Feb
- 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvement12 Feb
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
- 2023AppAgent: Multimodal Agents as Smartphone Users21 Dec
- 2023CogAgent: A Visual Language Model for GUI Agents14 Dec
- 2023You Only Look at Screens: Multimodal Chain-of-Action Agents20 Sep
Other references · 29
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- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
- 2023PaLM 2 Technical Reportcited by 1,154
- 2023CogVLM: Visual Expert for Pretrained Language Modelscited by 704
- 2023ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoderscited by 703
- 2024GPT-4V(ision) is a Generalist Web Agent, if Groundedcited by 547
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- 2023Language Is Not All You Need: Aligning Perception with Language Modelscited by 543
- 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
- 2023Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4Vcited by 291
- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 282
- 2023Multimodal Foundation Models: From Specialists to General-Purpose Assistantscited by 247
- 2020Mapping Natural Language Instructions to Mobile UI Action Sequencescited by 180
- 2024Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMscited by 173
- 2024UFO: A UI-Focused Agent for Windows OS Interactioncited by 147
- 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Modelscited by 130
- 2024OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognitioncited by 74
- 2021Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixelscited by 57
- 2023WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semanticscited by 45
- 2021VINS: Visual Search for Mobile User Interface Designcited by 37
- 2021Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environmentscited by 28
- 2022UGIF: UI Grounded Instruction Followingcited by 25
- 2024MobileAgent: enhancing mobile control via human-machine interaction and SOP integrationcited by 18
- 2024MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modelingcited by 9
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Citing papers per year: 2024: 10; 2025: 59; 2026: 41.
110 papers.
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- 2026UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents28 May 2026
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- 2025LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospectscited by 31
- 2025BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanismcited by 25
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- 2026Same Tasks, Different Apps: Why Mobile GUI Agents Fail to Generalize?28 Sep 2026
- 2026BlueLM-GUI Technical Report: A Real-Device-Centric Flywheel for Self-Improving Mobile GUI Agents11 Sep 2026
- 2026ElderBench: Benchmarking Autonomous Mobile Agents for Older Adults4 Sep 2026
- 2026Act2Intention: A Benchmark For Developing Active Mobile Agents Through Inferring User Intention from GUI Actions14 Aug 2026
- 2026The Next Screenshot Knows: Gated Hindsight Distillation for Mobile GUI Agents6 Aug 2026
- 2026SEE: Structure-aware Exploring & Exploiting for Long-horizon GUI Agent Trajectory Synthesis20 Jul 2026
- 2026Critic Experience Bank: Self-Evolving Step-Level Confidence Estimation for LLM Agents14 Jul 2026
- 2026GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots29 Jun 2026
- 2026UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents28 May 2026
- 2026STAMP: Training Explicit Memory for Mobile GUI Agents in Controllable and Scalable Virtual Environments28 May 2026
- 2026SE-GA: Memory-Augmented Self-Evolution for GUI Agents16 May 2026
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- 2025Retrieval-augmented GUI Agents with Generative Guidelinescited by 14
- 2026PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarioscited by 10
- 2026FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selectioncited by 9
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- 2026Towards Scalable Lightweight GUI Agents via Multi-role Orchestration15 Apr 2026
- 2026GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI Agents16 Mar 2026
- 2026HATS: Hardness-Aware Trajectory Synthesis for GUI Agents12 Mar 2026
- 2026PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios30 Jan 2026
- 2026FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection7 Jan 2026
- 2025iSHIFT: Lightweight Slow-Fast GUI Agent with Adaptive Perception26 Dec 2025
- 2025GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning2 Dec 2025
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- 2025Retrieval-augmented GUI Agents with Generative Guidelines29 Sep 2025
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- 2025Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Modelscited by 89
- 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agentscited by 73
- 2025InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflectioncited by 67
- 2025Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automationcited by 27
- 2025MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learningcited by 9
- 2025Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation5 Jun 2025
- 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents21 May 2025
- 2025MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning18 May 2025
- 2025Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models8 May 2025
- 2025UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning27 Mar 2025
- 2025InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection8 Jan 2025
- 2024Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling6 Dec 2024
- 2024Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction5 Dec 2024
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12 most cited of 21 All 21 (JSON)
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- 2026ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision15 Feb 2026
- 2026Unrewarded Exploration in Large Language Models Reveals Latent Learning from Psychology30 Jan 2026
- 2026GhostUI: Unveiling Hidden Interactions in Mobile UI27 Jan 2026
- 2026V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peaking11 Jan 2026
- 2025DigiData: Training and Evaluating General-Purpose Mobile Control Agents10 Nov 2025
- 2025Automotive-ENV: Benchmarking Multimodal Agents in Vehicle Interface Systems25 Sep 2025
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- 2025See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles17 Sep 2025
- 2025UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning15 Sep 2025
- 2025V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peaking19 Aug 2025
- 2025Universal Retrieval for Multimodal Trajectory Modeling27 Jun 2025
12 newest of 21 All 21 (JSON)
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