{"total":567,"rows":[{"id":"2511.21631","title":"Qwen3-VL Technical Report","created":"2025-11-26","cited_by_count":2793,"area":"mllm"},{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834,"area":null},{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599,"area":"lr"},{"id":"2508.18265","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","created":"2025-08-25","cited_by_count":1510,"area":"lr"},{"id":"2404.07972","title":"OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments","created":"2024-04-11","cited_by_count":1195,"area":"agents"},{"id":"2501.12326","title":"UI-TARS: Pioneering Automated GUI Interaction with Native Agents","created":"2025-01-21","cited_by_count":610,"area":"agents"},{"id":"2405.14573","title":"AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents","created":"2024-05-23","cited_by_count":468,"area":null},{"id":"2407.11691","title":"VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models","created":"2024-07-16","cited_by_count":455,"area":null},{"id":"2401.13919","title":"WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models","created":"2024-01-25","cited_by_count":438,"area":"mllm"},{"id":"2504.07491","title":"Kimi-VL Technical Report","created":"2025-04-10","cited_by_count":388,"area":"lr"},{"id":"2410.05243","title":"Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents","created":"2024-10-07","cited_by_count":382,"area":"mllm"},{"id":"2410.23218","title":"OS-ATLAS: A Foundation Action Model for Generalist GUI Agents","created":"2024-10-30","cited_by_count":378,"area":"mllm"},{"id":"2407.12772","title":"LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models","created":"2024-07-17","cited_by_count":353,"area":"mllm"},{"id":"2412.04454","title":"Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction","created":"2024-12-05","cited_by_count":278,"area":"lr"},{"id":"2504.07981","title":"ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use","created":"2025-04-04","cited_by_count":254,"area":"mllm"},{"id":"2504.10458","title":"GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents","created":"2025-04-14","cited_by_count":244,"area":"mllm"},{"id":"2506.15841","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","created":"2025-06-18","cited_by_count":238,"area":"lr"},{"id":"2411.17465","title":"ShowUI: One Vision-Language-Action Model for GUI Visual Agent","created":"2024-11-26","cited_by_count":232,"area":null},{"id":"2509.02544","title":"UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning","created":"2025-09-02","cited_by_count":215,"area":"lr"},{"id":"2406.01171","title":"Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization","created":"2024-06-03","cited_by_count":208,"area":null},{"id":"2402.07456","title":"OS-Copilot: Towards Generalist Computer Agents with Self-Improvement","created":"2024-02-12","cited_by_count":205,"area":"agents"},{"id":"2408.00203","title":"OmniParser for Pure Vision Based GUI Agent","created":"2024-08-01","cited_by_count":198,"area":"mllm"},{"id":"2406.08451","title":"GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices","created":"2024-06-12","cited_by_count":194,"area":null},{"id":"2504.07079","title":"SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills","created":"2025-04-09","cited_by_count":192,"area":"agents"},{"id":"2508.15144","title":"Mobile-Agent-v3: Fundamental Agents for GUI Automation","created":"2025-08-21","cited_by_count":190,"area":"agents"},{"id":"2406.01014","title":"Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration","created":"2024-06-03","cited_by_count":189,"area":"agents"},{"id":"2404.05719","title":"Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs","created":"2024-04-08","cited_by_count":176,"area":"mllm"},{"id":"2501.07572","title":"WebWalker: Benchmarking LLMs in Web Traversal","created":"2025-01-13","cited_by_count":175,"area":"rag"},{"id":"2503.21620","title":"UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning","created":"2025-03-27","cited_by_count":168,"area":"lr"},{"id":"2412.19723","title":"OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis","created":"2024-12-27","cited_by_count":163,"area":"agents"},{"id":"2411.18279","title":"Large Language Model-Brained GUI Agents: A Survey","created":"2024-11-27","cited_by_count":162,"area":"agents"},{"id":"2412.05467","title":"The BrowserGym Ecosystem for Web Agent Research","created":"2024-12-06","cited_by_count":161,"area":"agents"},{"id":"2508.09123","title":"OpenCUA: Open Foundations for Computer-Use Agents","created":"2025-08-12","cited_by_count":160,"area":"mllm"},{"id":"2403.02713","title":"Android in the Zoo: Chain-of-Action-Thought for GUI Agents","created":"2024-03-05","cited_by_count":159,"area":"lr"},{"id":"2411.06559","title":"Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents","created":"2024-11-10","cited_by_count":154,"area":"wm"},{"id":"2412.16256","title":"Aria-UI: Visual Grounding for GUI Instructions","created":"2024-12-20","cited_by_count":140,"area":null},{"id":"2504.14239","title":"InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners","created":"2025-04-19","cited_by_count":140,"area":"lr"},{"id":"2502.13130","title":"Magma: A Foundation Model for Multimodal AI Agents","created":"2025-02-18","cited_by_count":139,"area":"agents"},{"id":"2505.13227","title":"Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis","created":"2025-05-19","cited_by_count":139,"area":"agents"},{"id":"2410.06703","title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","created":"2024-10-09","cited_by_count":133,"area":"agents"},{"id":"2402.05935","title":"SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models","created":"2024-02-08","cited_by_count":131,"area":"mllm"},{"id":"2404.03648","title":"AutoWebGLM: A Large Language Model-based Web Navigating Agent","created":"2024-04-04","cited_by_count":130,"area":"agents"},{"id":"2412.09605","title":"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials","created":"2024-12-12","cited_by_count":130,"area":"agents"},{"id":"2403.03186","title":"Cradle: Empowering Foundation Agents Towards General Computer Control","created":"2024-03-05","cited_by_count":117,"area":null},{"id":"2411.02391","title":"Attacking Vision-Language Computer Agents via Pop-ups","created":"2024-11-04","cited_by_count":116,"area":"agents"},{"id":"2506.03569","title":"MiMo-VL Technical Report","created":"2025-06-04","cited_by_count":115,"area":"lr"},{"id":"2406.11317","title":"GUICourse: From General Vision Language Models to Versatile GUI Agents","created":"2024-06-17","cited_by_count":114,"area":"mllm"},{"id":"2407.17490","title":"AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents","created":"2024-07-03","cited_by_count":113,"area":"agents"},{"id":"2507.05791","title":"GTA1: GUI Test-time Scaling Agent","created":"2025-07-08","cited_by_count":106,"area":"lr"},{"id":"2412.13501","title":"GUI Agents: A Survey","created":"2024-12-18","cited_by_count":103,"area":"agents"},{"id":"2403.20271","title":"Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want","created":"2024-03-29","cited_by_count":101,"area":"mllm"},{"id":"2404.05955","title":"VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?","created":"2024-04-09","cited_by_count":100,"area":"mllm"},{"id":"2506.03143","title":"GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents","created":"2025-06-03","cited_by_count":95,"area":"agents"},{"id":"2508.10833","title":"UI-Venus Technical Report: Building High-performance UI Agents with RFT","created":"2025-08-14","cited_by_count":93,"area":"agents"},{"id":"2512.22047","title":"MAI-UI Technical Report: Real-World Centric Foundation GUI Agents","created":"2025-12-26","cited_by_count":91,"area":"agents"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2503.23350","title":"A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models","created":"2025-03-30","cited_by_count":87,"area":"agents"},{"id":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2505.23678","title":"Grounded Reinforcement Learning for Visual Reasoning","created":"2025-05-29","cited_by_count":83,"area":"lr"},{"id":"2505.12370","title":"Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning","created":"2025-05-18","cited_by_count":81,"area":"lr"},{"id":"2503.15661","title":"UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction","created":"2025-03-19","cited_by_count":77,"area":null},{"id":"2505.16282","title":"ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay","created":"2025-05-22","cited_by_count":77,"area":"agents"},{"id":"2505.15810","title":"GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents","created":"2025-05-21","cited_by_count":74,"area":"lr"},{"id":"2502.11357","title":"Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents","created":"2025-02-17","cited_by_count":72,"area":"agents"},{"id":"2411.00855","title":"Vision-Language Models Can Self-Improve Reasoning via Reflection","created":"2024-10-30","cited_by_count":69,"area":"lr"},{"id":"2508.04700","title":"SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience","created":"2025-08-06","cited_by_count":69,"area":"mllm"},{"id":"2408.11824","title":"AppAgent v2: Advanced Agent for Flexible Mobile Interactions","created":"2024-08-05","cited_by_count":68,"area":"agents"},{"id":"2501.04575","title":"InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection","created":"2025-01-08","cited_by_count":67,"area":"lr"},{"id":"2507.19478","title":"MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents","created":"2025-07-25","cited_by_count":67,"area":"agents"},{"id":"2506.09344","title":"Ming-Omni: A Unified Multimodal Model for Perception and Generation","created":"2025-06-11","cited_by_count":66,"area":null},{"id":"2411.10323","title":"The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use","created":"2024-11-15","cited_by_count":63,"area":"agents"},{"id":"2507.15846","title":"GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding","created":"2025-07-21","cited_by_count":63,"area":"alignment"},{"id":"2504.13865","title":"A Survey on (M)LLM-Based GUI Agents","created":"2025-03-27","cited_by_count":62,"area":"agents"},{"id":"2509.15221","title":"ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data","created":"2025-09-18","cited_by_count":60,"area":"mllm"},{"id":"2502.14846","title":"Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation","created":"2025-02-20","cited_by_count":58,"area":"mllm"},{"id":"2408.02544","title":"Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions","created":"2024-08-05","cited_by_count":56,"area":"mllm"},{"id":"2404.09992","title":"MMInA: Benchmarking Multihop Multimodal Internet Agents","created":"2024-04-15","cited_by_count":55,"area":"agents"},{"id":"2505.19897","title":"ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows","created":"2025-05-26","cited_by_count":52,"area":"agents"},{"id":"2410.18967","title":"Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms","created":"2024-10-24","cited_by_count":51,"area":null},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","cited_by_count":47,"area":"mllm"},{"id":"2605.18747","title":"Code as Agent Harness","created":"2026-05-18","cited_by_count":47,"area":"agents"},{"id":"2403.17918","title":"AgentStudio: A Toolkit for Building General Virtual Agents","created":"2024-03-26","cited_by_count":45,"area":null},{"id":"2505.14668","title":"ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions","created":"2025-05-20","cited_by_count":45,"area":"agents"},{"id":"2504.21277","title":"Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models","created":"2025-04-30","cited_by_count":44,"area":"lr"},{"id":"2505.23762","title":"ZeroGUI: Automating Online GUI Learning at Zero Human Cost","created":"2025-05-29","cited_by_count":44,"area":"mllm"},{"id":"2506.01391","title":"AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning","created":"2025-06-02","cited_by_count":44,"area":"agents"},{"id":"2503.12329","title":"CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era","created":"2025-03-16","cited_by_count":41,"area":null},{"id":"2504.14603","title":"UFO2: The Desktop AgentOS","created":"2025-04-20","cited_by_count":41,"area":null},{"id":"2505.15277","title":"Web-Shepherd: Advancing PRMs for Reinforcing Web Agents","created":"2025-05-21","cited_by_count":41,"area":"agents"},{"id":"2602.09082","title":"UI-Venus-1.5 Technical Report","created":"2026-02-09","cited_by_count":41,"area":"agents"},{"id":"2505.19683","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","created":"2025-05-26","cited_by_count":40,"area":"lr"},{"id":"2606.29537","title":"OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks","created":"2026-06-28","cited_by_count":40,"area":"agents"},{"id":"2407.01511","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","created":"2024-07-01","cited_by_count":39,"area":"mllm"},{"id":"2512.15431","title":"Step-GUI Technical Report","created":"2025-12-17","cited_by_count":39,"area":"agents"},{"id":"2402.12914","title":"Large Language Model-based Human-Agent Collaboration for Complex Task Solving","created":"2024-02-20","cited_by_count":38,"area":"agents"},{"id":"2410.18963","title":"OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning","created":"2024-10-24","cited_by_count":38,"area":"lr"},{"id":"2505.23590","title":"Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles","created":"2025-05-29","cited_by_count":36,"area":"lr"},{"id":"2406.10227","title":"VideoGUI: A Benchmark for GUI Automation from Instructional Videos","created":"2024-06-14","cited_by_count":35,"area":null},{"id":"2506.00618","title":"RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents","created":"2025-05-31","cited_by_count":35,"area":"mllm"}],"next_cursor":"100"}