{"total":21,"rows":[{"id":"2509.02547","title":"The Landscape of Agentic Reinforcement Learning for LLMs: A Survey","created":"2025-09-02","cited_by_count":205,"area":"agents"},{"id":"2509.18970","title":"LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions","created":"2025-09-23","cited_by_count":50,"area":"agents"},{"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":"2506.17612","title":"JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent","created":"2025-06-21","cited_by_count":39,"area":"agents"},{"id":"2512.02395","title":"Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch","created":"2025-12-02","cited_by_count":27,"area":"agents"},{"id":"2508.03700","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","created":"2025-07-19","cited_by_count":19,"area":"agents"},{"id":"2506.21669","title":"SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents","created":"2025-06-26","cited_by_count":15,"area":"agents"},{"id":"2604.08545","title":"Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models","created":"2026-04-09","cited_by_count":14,"area":"agents"},{"id":"2512.01763","title":"HiconAgent: History Context-aware Policy Optimization for GUI Agents","created":"2025-12-01","cited_by_count":13,"area":"agents"},{"id":"2605.12481","title":"ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents","created":"2026-05-12","cited_by_count":11,"area":"agents"},{"id":"2602.03320","title":"MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning","created":"2026-02-03","cited_by_count":8,"area":"agents"},{"id":"2601.20732","title":"Continual GUI Agents","created":"2026-01-28","cited_by_count":7,"area":"agents"},{"id":"2511.23055","title":"MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents","created":"2025-11-28","cited_by_count":5,"area":"agents"},{"id":"2601.13060","title":"MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux","created":"2026-01-19","cited_by_count":5,"area":"agents"},{"id":"2509.17917","title":"Orcust: Stepwise-Feedback Reinforcement Learning for GUI Agent","created":"2025-09-22","cited_by_count":4,"area":"agents"},{"id":"2603.26908","title":"FusionAgent: A Multimodal Agent with Dynamic Model Selection for Human Recognition","created":"2026-03-27","cited_by_count":4,"area":"agents"},{"id":"2505.05515","title":"Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience","created":"2025-05-07","cited_by_count":3,"area":"agents"},{"id":"2604.17284","title":"HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents","created":"2026-04-19","cited_by_count":3,"area":"agents"},{"id":"2606.10522","title":"GUI-AC: Enhancing Continual Learning in GUI Agents","created":"2026-06-09","cited_by_count":1,"area":"agents"},{"id":"2608.04317","title":"Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)","created":"2026-08-05","cited_by_count":1,"area":"agents"},{"id":"2608.11616","title":"MBA: Multimodal Benchmark and Agents for Real-World Business Ideation","created":"2026-08-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}