{"total":56,"rows":[{"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":"2505.10978","title":"Group-in-Group Policy Optimization for LLM Agent Training","created":"2025-05-16","cited_by_count":497,"area":"lr"},{"id":"2412.04454","title":"Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction","created":"2024-12-05","cited_by_count":278,"area":"lr"},{"id":"2506.23918","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","created":"2025-06-30","cited_by_count":199,"area":"lr"},{"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":"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":"2507.05791","title":"GTA1: GUI Test-time Scaling Agent","created":"2025-07-08","cited_by_count":106,"area":"lr"},{"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":"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":"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":"2507.05720","title":"MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment","created":"2025-07-08","cited_by_count":52,"area":"lr"},{"id":"2602.22817","title":"Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks","created":"2026-02-26","cited_by_count":49,"area":"lr"},{"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":"2507.22025","title":"UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding","created":"2025-07-29","cited_by_count":33,"area":"lr"},{"id":"2505.00684","title":"Visual Test-time Scaling for GUI Agent Grounding","created":"2025-05-01","cited_by_count":30,"area":"lr"},{"id":"2509.23866","title":"Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation","created":"2025-09-28","cited_by_count":26,"area":"lr"},{"id":"2507.23779","title":"Phi-Ground Tech Report: Advancing Perception in GUI Grounding","created":"2025-07-31","cited_by_count":25,"area":"lr"},{"id":"2508.05615","title":"Test-Time Reinforcement Learning for GUI Grounding via Region Consistency","created":"2025-08-07","cited_by_count":21,"area":"lr"},{"id":"2502.18906","title":"VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model","created":"2025-02-26","cited_by_count":19,"area":"lr"},{"id":"2505.15259","title":"ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search","created":"2025-05-21","cited_by_count":13,"area":"lr"},{"id":"2509.17336","title":"Mano Technical Report","created":"2025-09-22","cited_by_count":13,"area":"lr"},{"id":"2509.21823","title":"ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration","created":"2025-09-26","cited_by_count":11,"area":"lr"},{"id":"2511.09127","title":"History-Aware Reasoning for GUI Agents","created":"2025-11-12","cited_by_count":11,"area":"lr"},{"id":"2505.12299","title":"MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning","created":"2025-05-18","cited_by_count":9,"area":"lr"},{"id":"2505.18917","title":"Behavior Injection: Preparing Language Models for Reinforcement Learning","created":"2025-05-25","cited_by_count":8,"area":"lr"},{"id":"2510.09577","title":"Dyna-Mind: Learning to Simulate from Experience for Better AI Agents","created":"2025-10-10","cited_by_count":8,"area":"lr"},{"id":"2602.13559","title":"OpAgent: Operator Agent for Web Navigation","created":"2026-02-14","cited_by_count":8,"area":"lr"},{"id":"2508.04389","title":"GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning","created":"2025-08-06","cited_by_count":7,"area":"lr"},{"id":"2508.20096","title":"CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning","created":"2025-08-27","cited_by_count":6,"area":"lr"},{"id":"2603.07432","title":"Generalization in Online Reinforcement Learning for Mobile Agents","created":"2026-03-08","cited_by_count":6,"area":"lr"},{"id":"2606.02031","title":"OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents","created":"2026-06-01","cited_by_count":6,"area":"lr"},{"id":"2503.02238","title":"Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions","created":"2025-03-04","cited_by_count":5,"area":"lr"},{"id":"2509.15566","title":"BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent","created":"2025-09-19","cited_by_count":5,"area":"lr"},{"id":"2604.21268","title":"Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding","created":"2026-04-23","cited_by_count":5,"area":"lr"},{"id":"2505.21055","title":"Agent-Environment Alignment via Automated Interface Generation","created":"2025-05-27","cited_by_count":4,"area":"lr"},{"id":"2510.02204","title":"Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agents","created":"2025-10-02","cited_by_count":4,"area":"lr"},{"id":"2512.02423","title":"GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning","created":"2025-12-02","cited_by_count":4,"area":"lr"},{"id":"2603.16777","title":"Anticipatory Planning for Multimodal AI Agents","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2605.07505","title":"LiteGUI: Lightweight GUI Agents via Multi-Solution Guided Distillation and Dual-Level Reinforcement Learning","created":"2026-05-08","cited_by_count":4,"area":"lr"},{"id":"2510.27266","title":"Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning","created":"2025-10-31","cited_by_count":3,"area":"lr"},{"id":"2603.18859","title":"RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2606.14579","title":"VISTA: View-Consistent Self-Verified Training for GUI Grounding","created":"2026-06-12","cited_by_count":3,"area":"lr"},{"id":"2506.17913","title":"Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents","created":"2025-06-22","cited_by_count":2,"area":"lr"},{"id":"2509.11548","title":"How Auxiliary Reasoning Unleashes GUI Grounding in VLMs","created":"2025-09-15","cited_by_count":2,"area":"lr"},{"id":"2601.18197","title":"GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models","created":"2026-01-26","cited_by_count":2,"area":"lr"},{"id":"2602.22942","title":"ClawMobile: Rethinking Smartphone-Native Agentic Systems","created":"2026-02-26","cited_by_count":2,"area":"lr"},{"id":"2604.25380","title":"Benchmarking and Improving GUI Agents in High-Dynamic Environments","created":"2026-04-28","cited_by_count":2,"area":"lr"},{"id":"2606.10423","title":"WebChallenger: A Reliable and Efficient Generalist Web Agent","created":"2026-06-09","cited_by_count":1,"area":"lr"},{"id":"2605.02730","title":"Perceptual Flow Network for Visually Grounded Reasoning","created":"2026-05-04","cited_by_count":0,"area":"lr"},{"id":"2607.17243","title":"LenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning","created":"2026-07-19","cited_by_count":0,"area":"lr"},{"id":"2608.00335","title":"RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning","created":"2026-07-31","cited_by_count":0,"area":"lr"},{"id":"2608.02833","title":"CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning","created":"2026-08-03","cited_by_count":0,"area":"lr"},{"id":"2608.21832","title":"GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Grounding","created":"2026-08-22","cited_by_count":0,"area":"lr"},{"id":"2609.24243","title":"Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation Enforcement","created":"2026-09-21","cited_by_count":0,"area":"lr"},{"id":"2610.19100","title":"GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}