{"total":106,"rows":[{"id":"2410.10762","title":"AFlow: Automating Agentic Workflow Generation","created":"2024-10-14","cited_by_count":432,"area":"lr"},{"id":"2408.08435","title":"Automated Design of Agentic Systems","created":"2024-08-15","cited_by_count":407,"area":"agents"},{"id":"2505.22954","title":"Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents","created":"2025-05-29","cited_by_count":356,"area":"agents"},{"id":"2512.13564","title":"Memory in the Age of AI Agents","created":"2025-12-15","cited_by_count":303,"area":"agents"},{"id":"2410.10934","title":"Agent-as-a-Judge: Evaluate Agents with Agents","created":"2024-10-14","cited_by_count":238,"area":"agents"},{"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":"2505.22648","title":"WebDancer: Towards Autonomous Information Seeking Agency","created":"2025-05-28","cited_by_count":188,"area":"agents"},{"id":"2502.04180","title":"Multi-agent Architecture Search via Agentic Supernet","created":"2025-02-06","cited_by_count":179,"area":"agents"},{"id":"2501.07572","title":"WebWalker: Benchmarking LLMs in Web Traversal","created":"2025-01-13","cited_by_count":175,"area":"rag"},{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2604.25850","title":"Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses","created":"2026-04-28","cited_by_count":142,"area":"agents"},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2506.07398","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","created":"2025-06-09","cited_by_count":122,"area":"agents"},{"id":"2502.02533","title":"Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies","created":"2025-02-04","cited_by_count":113,"area":"agents"},{"id":"2508.06433","title":"Memp: Exploring Agent Procedural Memory","created":"2025-08-08","cited_by_count":103,"area":"agents"},{"id":"2410.13185","title":"Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents","created":"2024-10-17","cited_by_count":97,"area":"agents"},{"id":"2507.06229","title":"Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving","created":"2025-07-08","cited_by_count":94,"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":"2508.13167","title":"Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL","created":"2025-08-06","cited_by_count":80,"area":"lr"},{"id":"2508.14111","title":"From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery","created":"2025-08-18","cited_by_count":77,"area":"agents"},{"id":"2410.16946","title":"Self-Evolving Multi-Agent Collaboration Networks for Software Development","created":"2024-10-22","cited_by_count":74,"area":"agents"},{"id":"2410.13639","title":"A Comparative Study on Reasoning Patterns of OpenAI's o1 Model","created":"2024-10-17","cited_by_count":63,"area":"lr"},{"id":"2504.15257","title":"FlowReasoner: Reinforcing Query-Level Meta-Agents","created":"2025-04-21","cited_by_count":63,"area":null},{"id":"2506.12928","title":"Scaling Test-time Compute for LLM Agents","created":"2025-06-15","cited_by_count":63,"area":"lr"},{"id":"2502.04306","title":"ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization","created":"2025-02-06","cited_by_count":56,"area":"agents"},{"id":"2506.10055","title":"TaskCraft: Automated Generation of Agentic Tasks","created":"2025-06-11","cited_by_count":51,"area":"agents"},{"id":"2604.08618","title":"SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support","created":"2026-04-09","cited_by_count":48,"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":"2507.03616","title":"EvoAgentX: An Automated Framework for Evolving Agentic Workflows","created":"2025-07-04","cited_by_count":44,"area":"agents"},{"id":"2501.06590","title":"ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning","created":"2025-01-11","cited_by_count":41,"area":"lr"},{"id":"2410.07869","title":"Benchmarking Agentic Workflow Generation","created":"2024-10-10","cited_by_count":37,"area":"agents"},{"id":"2502.14815","title":"Optimizing Model Selection for Compound AI Systems","created":"2025-02-20","cited_by_count":36,"area":null},{"id":"2508.04482","title":"OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use","created":"2025-08-06","cited_by_count":35,"area":"agents"},{"id":"2412.13103","title":"AI PERSONA: Towards Life-long Personalization of LLMs","created":"2024-12-17","cited_by_count":32,"area":null},{"id":"2508.02694","title":"Efficient Agents: Building Effective Agents While Reducing Cost","created":"2025-07-24","cited_by_count":32,"area":"agents"},{"id":"2511.13593","title":"O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents","created":"2025-11-17","cited_by_count":32,"area":"agents"},{"id":"2409.01392","title":"ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems","created":"2024-09-02","cited_by_count":30,"area":"agents"},{"id":"2410.04444","title":"G\\\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement","created":"2024-10-06","cited_by_count":29,"area":"agents"},{"id":"2506.15741","title":"OAgents: An Empirical Study of Building Effective Agents","created":"2025-06-17","cited_by_count":29,"area":"agents"},{"id":"2510.08529","title":"CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards","created":"2025-10-09","cited_by_count":29,"area":"agents"},{"id":"2509.25301","title":"Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution","created":"2025-09-29","cited_by_count":27,"area":"agents"},{"id":"2412.21154","title":"Aviary: training language agents on challenging scientific tasks","created":"2024-12-30","cited_by_count":26,"area":"agents"},{"id":"2409.12889","title":"Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case","created":"2024-09-19","cited_by_count":24,"area":null},{"id":"2506.09046","title":"Self-Evolving Multi-Agent Systems via Textual Backpropagation","created":"2025-06-10","cited_by_count":23,"area":"agents"},{"id":"2411.14033","title":"LLM-based Multi-Agent Systems: Techniques and Business Perspectives","created":"2024-11-21","cited_by_count":22,"area":"agents"},{"id":"2504.04785","title":"Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors","created":"2025-04-07","cited_by_count":22,"area":"agents"},{"id":"2510.20286","title":"UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning","created":"2025-10-23","cited_by_count":22,"area":"agents"},{"id":"2412.03092","title":"REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization","created":"2024-12-04","cited_by_count":20,"area":null},{"id":"2505.18646","title":"SEW: Self-Evolving Agentic Workflows for Automated Code Generation","created":"2025-05-24","cited_by_count":20,"area":"agents"},{"id":"2412.03624","title":"How to Correctly do Semantic Backpropagation on Language-based Agentic Systems","created":"2024-12-04","cited_by_count":18,"area":"agents"},{"id":"2506.15672","title":"SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence","created":"2025-06-18","cited_by_count":18,"area":"agents"},{"id":"2508.15305","title":"Coarse-to-Fine Grounded Memory for LLM Agent Planning","created":"2025-08-21","cited_by_count":18,"area":"agents"},{"id":"2602.07755","title":"Learning to Continually Learn via Meta-learning Agentic Memory Designs","created":"2026-02-08","cited_by_count":18,"area":"agents"},{"id":"2509.25106","title":"Towards Personalized Deep Research: Benchmarks and Evaluations","created":"2025-09-29","cited_by_count":16,"area":"agents"},{"id":"2604.19572","title":"A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression","created":"2026-04-21","cited_by_count":15,"area":"inference"},{"id":"2511.20693","title":"$A^2Flow:$ Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators","created":"2025-11-23","cited_by_count":14,"area":"agents"},{"id":"2409.13265","title":"Towards LifeSpan Cognitive Systems","created":"2024-09-20","cited_by_count":13,"area":null},{"id":"2412.08445","title":"TapeAgents: a Holistic Framework for Agent Development and Optimization","created":"2024-12-11","cited_by_count":13,"area":"agents"},{"id":"2601.03743","title":"O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL","created":"2026-01-07","cited_by_count":11,"area":"agents"},{"id":"2503.23781","title":"DebFlow: Automating Agent Creation via Agent Debate","created":"2025-03-31","cited_by_count":10,"area":"agents"},{"id":"2504.03561","title":"SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement","created":"2025-04-04","cited_by_count":9,"area":"agents"},{"id":"2608.04003","title":"PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents","created":"2026-08-04","cited_by_count":9,"area":null},{"id":"2408.02248","title":"ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems","created":"2024-08-05","cited_by_count":8,"area":"agents"},{"id":"2503.13413","title":"DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective","created":"2025-03-17","cited_by_count":8,"area":"lr"},{"id":"2603.25111","title":"SEVerA: Verified Synthesis of Self-Evolving Agents","created":"2026-03-26","cited_by_count":8,"area":"agents"},{"id":"2510.00510","title":"JoyAgent-JDGenie: Technical Report on the GAIA","created":"2025-10-01","cited_by_count":7,"area":null},{"id":"2503.14427","title":"VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms","created":"2025-03-18","cited_by_count":6,"area":null},{"id":"2606.02372","title":"CoMAP: Co-Evolving World Models and Agent Policies for LLM Agents","created":"2026-06-01","cited_by_count":6,"area":"wm"},{"id":"2409.00636","title":"A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine","created":"2024-09-01","cited_by_count":5,"area":"rag"},{"id":"2602.22675","title":"Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization","created":"2026-02-26","cited_by_count":5,"area":"agents"},{"id":"2605.31468","title":"AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle","created":"2026-05-29","cited_by_count":5,"area":"agents"},{"id":"2506.08234","title":"Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2509.22502","title":"InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios","created":"2025-09-26","cited_by_count":4,"area":"agents"},{"id":"2604.00722","title":"LangMARL: Natural Language Multi-Agent Reinforcement Learning","created":"2026-04-01","cited_by_count":4,"area":"agents"},{"id":"2508.19633","title":"A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2512.23328","title":"CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations","created":"2025-12-29","cited_by_count":3,"area":"lr"},{"id":"2601.07477","title":"JudgeFlow: Agentic Workflow Optimization via Block Judge","created":"2026-01-12","cited_by_count":3,"area":"agents"},{"id":"2606.07001","title":"DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving","created":"2026-06-05","cited_by_count":3,"area":"synth"},{"id":"2508.02959","title":"Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflow","created":"2025-08-04","cited_by_count":2,"area":"agents"},{"id":"2511.04646","title":"DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration","created":"2025-11-06","cited_by_count":2,"area":"wm"},{"id":"2601.11658","title":"Towards AGI A Pragmatic Approach Towards Self Evolving Agent","created":"2026-01-15","cited_by_count":2,"area":"agents"},{"id":"2602.04411","title":"Self-evolving Embodied AI","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2608.28363","title":"EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses","created":"2026-08-28","cited_by_count":2,"area":"agents"},{"id":"2609.01861","title":"Belief-Calibrated Optimization: An Explicit World Model for Agentic Optimization","created":"2026-09-01","cited_by_count":2,"area":"wm"},{"id":"2410.16392","title":"Scaffolded Language Models with Language Supervision for Mixed-Autonomy: A Survey","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2505.21964","title":"UI-Evol: Automatic Knowledge Evolving for Computer Use Agents","created":"2025-05-28","cited_by_count":1,"area":"agents"},{"id":"2509.26126","title":"The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems","created":"2025-09-30","cited_by_count":1,"area":"agents"},{"id":"2510.04089","title":"SPOGW: a Score-based Preference Optimization method via Group-Wise comparison for workflows","created":"2025-10-05","cited_by_count":1,"area":"agents"},{"id":"2512.11213","title":"FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration","created":"2025-12-12","cited_by_count":1,"area":"lr"},{"id":"2604.03245","title":"FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification","created":"2026-03-06","cited_by_count":1,"area":"lr"},{"id":"2606.21445","title":"AutoRAS: Learning Robust Agentic Systems with Primitive Representations","created":"2026-06-19","cited_by_count":1,"area":"lr"},{"id":"2607.16352","title":"Clarify Before Executing: A Self-Evolving Agent for Resolving Intent Asymmetry in 3D Tool Orchestration","created":"2026-07-17","cited_by_count":1,"area":null},{"id":"2608.09524","title":"STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework","created":"2026-08-10","cited_by_count":1,"area":"agents"},{"id":"2508.01581","title":"Polymorphic Combinatorial Frameworks (PCF): Guiding the Design of Mathematically-Grounded, Adaptive AI Agents","created":"2025-08-03","cited_by_count":0,"area":"agents"},{"id":"2601.12842","title":"SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning","created":"2026-01-19","cited_by_count":0,"area":"lr"},{"id":"2605.12943","title":"Reinforced Collaboration in Multi-Agent Flow Networks","created":"2026-05-13","cited_by_count":0,"area":"agents"},{"id":"2605.29653","title":"PTCG-Bench: Can LLM Agents Master Pok\\'emon Trading Card Game?","created":"2026-05-28","cited_by_count":0,"area":"agents"},{"id":"2606.15363","title":"APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI Agents","created":"2026-06-13","cited_by_count":0,"area":"agents"},{"id":"2608.07196","title":"EMAS: Stabilizing Multi-Agent System Evolution through Evidence-Guided Revision","created":"2026-08-07","cited_by_count":0,"area":"agents"},{"id":"2609.04217","title":"At Equal Inference Cost, Multi-Agent Structure Does Not Beat a Single Frozen Agent","created":"2026-06-25","cited_by_count":0,"area":"agents"}],"next_cursor":"100"}