{"total":37,"rows":[{"id":"2411.18279","title":"Large Language Model-Brained GUI Agents: A Survey","created":"2024-11-27","cited_by_count":162,"area":"agents"},{"id":"2503.12434","title":"A Survey on the Optimization of Large Language Model-based Agents","created":"2025-03-16","cited_by_count":46,"area":"agents"},{"id":"2512.19682","title":"GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators","created":"2025-12-22","cited_by_count":42,"area":"agents"},{"id":"2512.04123","title":"Measuring Agents in Production","created":"2025-12-02","cited_by_count":37,"area":"agents"},{"id":"2503.02682","title":"MPO: Boosting LLM Agents with Meta Plan Optimization","created":"2025-03-04","cited_by_count":36,"area":"agents"},{"id":"2511.00197","title":"Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories","created":"2025-10-31","cited_by_count":33,"area":"agents"},{"id":"2503.02197","title":"ATLaS: Agent Tuning via Learning Critical Steps","created":"2025-03-04","cited_by_count":31,"area":"agents"},{"id":"2603.14465","title":"AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using Agents","created":"2026-03-15","cited_by_count":31,"area":"agents"},{"id":"2604.15840","title":"CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution","created":"2026-04-17","cited_by_count":23,"area":"agents"},{"id":"2510.05608","title":"A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks","created":"2025-10-07","cited_by_count":19,"area":"agents"},{"id":"2510.24702","title":"Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents","created":"2025-10-28","cited_by_count":17,"area":"agents"},{"id":"2504.07046","title":"A Unified Agentic Framework for Evaluating Conditional Image Generation","created":"2025-04-09","cited_by_count":15,"area":"agents"},{"id":"2506.03828","title":"AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance","created":"2025-06-04","cited_by_count":15,"area":"agents"},{"id":"2602.06443","title":"TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents","created":"2026-02-06","cited_by_count":15,"area":"agents"},{"id":"2507.07441","title":"SAND: Boosting LLM Agents with Self-Taught Action Deliberation","created":"2025-07-10","cited_by_count":14,"area":"agents"},{"id":"2508.00344","title":"PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning","created":"2025-08-01","cited_by_count":11,"area":"agents"},{"id":"2502.02982","title":"MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users","created":"2025-02-05","cited_by_count":10,"area":"agents"},{"id":"2601.07470","title":"Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory","created":"2026-01-12","cited_by_count":10,"area":"agents"},{"id":"2504.13145","title":"Exploring Expert Failures Improves LLM Agent Tuning","created":"2025-04-17","cited_by_count":9,"area":"agents"},{"id":"2502.01562","title":"Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization","created":"2025-02-03","cited_by_count":8,"area":"agents"},{"id":"2504.03553","title":"Agentic Knowledgeable Self-awareness","created":"2025-04-04","cited_by_count":8,"area":"agents"},{"id":"2602.09138","title":"PABU: Progress-Aware Belief Update for Efficient LLM Agents","created":"2026-02-09","cited_by_count":7,"area":"agents"},{"id":"2602.01611","title":"What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?","created":"2026-02-02","cited_by_count":6,"area":"agents"},{"id":"2602.16953","title":"LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation","created":"2026-02-18","cited_by_count":5,"area":"agents"},{"id":"2605.06642","title":"StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction","created":"2026-05-07","cited_by_count":4,"area":"agents"},{"id":"2609.08183","title":"NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness","created":"2026-09-08","cited_by_count":4,"area":"agents"},{"id":"2511.21686","title":"Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework","created":"2025-11-26","cited_by_count":3,"area":"agents"},{"id":"2602.17049","title":"IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents","created":"2026-02-19","cited_by_count":2,"area":"agents"},{"id":"2602.19000","title":"MagicAgent: Towards Generalized Agent Planning","created":"2026-02-22","cited_by_count":2,"area":"agents"},{"id":"2508.15068","title":"S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner","created":"2025-08-20","cited_by_count":1,"area":"agents"},{"id":"2509.09629","title":"Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems","created":"2025-09-11","cited_by_count":1,"area":"agents"},{"id":"2607.06140","title":"CurateEvo: Data-Curation Evolving for Agentic Post-Training","created":"2026-07-07","cited_by_count":1,"area":"agents"},{"id":"2608.20314","title":"MidTool: Mid-training Data Synthesis for Agentic Tool Use","created":"2026-08-20","cited_by_count":1,"area":"agents"},{"id":"2609.33146","title":"LiteEvo: Automated, Cost-Efficient Harness Evolution for Generalization to Unseen Tasks","created":"2026-09-27","cited_by_count":1,"area":"agents"},{"id":"2608.26086","title":"TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development","created":"2026-08-26","cited_by_count":0,"area":"agents"},{"id":"2608.26563","title":"SPT: Skills as Pre-Training Data for Agentic Language Models","created":"2026-08-27","cited_by_count":0,"area":"agents"},{"id":"2609.05261","title":"Trace2Tower: Transition-Aware EigenTrace Induction of Multi-Level Skills for LLM Agents","created":"2026-09-04","cited_by_count":0,"area":"agents"}],"next_cursor":null}