{"total":47,"rows":[{"id":"2305.17126","title":"Large Language Models as Tool Makers","created":"2023-05-26","cited_by_count":303,"area":"agents"},{"id":"2401.10019","title":"R-Judge: Benchmarking Safety Risk Awareness for LLM Agents","created":"2024-01-18","cited_by_count":288,"area":"agents"},{"id":"2503.16416","title":"Survey on Evaluation of LLM-based Agents","created":"2025-03-20","cited_by_count":204,"area":"agents"},{"id":"2410.02506","title":"Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","created":"2024-10-03","cited_by_count":141,"area":"agents"},{"id":"2410.11782","title":"G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","created":"2024-10-15","cited_by_count":119,"area":"agents"},{"id":"2509.24704","title":"MemGen: Weaving Generative Latent Memory for Self-Evolving Agents","created":"2025-09-29","cited_by_count":109,"area":"agents"},{"id":"2507.18224","title":"Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation","created":"2025-07-24","cited_by_count":58,"area":"agents"},{"id":"2505.23352","title":"Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems","created":"2025-05-29","cited_by_count":43,"area":"agents"},{"id":"2505.16997","title":"X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs","created":"2025-05-22","cited_by_count":38,"area":"agents"},{"id":"2401.01312","title":"LLM Harmony: Multi-Agent Communication for Problem Solving","created":"2024-01-02","cited_by_count":35,"area":"agents"},{"id":"2506.02951","title":"Adaptive Graph Pruning for Multi-Agent Communication","created":"2025-06-03","cited_by_count":29,"area":"agents"},{"id":"2506.17784","title":"AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction","created":"2025-06-21","cited_by_count":25,"area":"agents"},{"id":"2502.19559","title":"Stay Focused: Problem Drift in Multi-Agent Debate","created":"2025-02-26","cited_by_count":23,"area":"agents"},{"id":"2505.16988","title":"MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems","created":"2025-05-22","cited_by_count":14,"area":"agents"},{"id":"2511.13193","title":"Cost-Effective Communication: An Auction-based Method for Language Agent Interaction","created":"2025-11-17","cited_by_count":14,"area":"agents"},{"id":"2601.12996","title":"OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models","created":"2026-01-19","cited_by_count":14,"area":"agents"},{"id":"2506.11102","title":"Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey","created":"2025-06-06","cited_by_count":13,"area":"agents"},{"id":"2508.11733","title":"SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication","created":"2025-08-15","cited_by_count":12,"area":"agents"},{"id":"2509.19236","title":"AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration","created":"2025-09-23","cited_by_count":10,"area":"agents"},{"id":"2510.00685","title":"Stochastic Self-Organization in Multi-Agent Systems","created":"2025-10-01","cited_by_count":9,"area":"agents"},{"id":"2506.05305","title":"ProRefine: Inference-Time Prompt Refinement with Textual Feedback","created":"2025-06-05","cited_by_count":8,"area":"agents"},{"id":"2510.14319","title":"Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction","created":"2025-10-16","cited_by_count":7,"area":"agents"},{"id":"2507.13190","title":"GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems","created":"2025-07-17","cited_by_count":6,"area":"agents"},{"id":"2509.11361","title":"MAPGD: Multi-Agent Prompt Gradient Descent for Collaborative Prompt Optimization","created":"2025-09-14","cited_by_count":6,"area":"agents"},{"id":"2505.24354","title":"Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research","created":"2025-05-30","cited_by_count":5,"area":"agents"},{"id":"2602.08222","title":"Weak-Driven Learning: How Weak Agents make Strong Agents Stronger","created":"2026-02-09","cited_by_count":5,"area":"agents"},{"id":"2603.19677","title":"GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems","created":"2026-03-20","cited_by_count":5,"area":"agents"},{"id":"2606.02359","title":"MOC: Multi-Order Communication in LLM-based Multi-Agent Systems","created":"2026-06-01","cited_by_count":4,"area":"agents"},{"id":"2510.10611","title":"HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication","created":"2025-10-12","cited_by_count":2,"area":"agents"},{"id":"2602.08009","title":"Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective","created":"2026-02-08","cited_by_count":2,"area":"agents"},{"id":"2604.09679","title":"HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate","created":"2026-04-03","cited_by_count":2,"area":"agents"},{"id":"2606.19758","title":"SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design","created":"2026-06-18","cited_by_count":2,"area":"agents"},{"id":"2602.14681","title":"ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies","created":"2026-02-16","cited_by_count":1,"area":"agents"},{"id":"2605.14483","title":"LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning","created":"2026-05-14","cited_by_count":1,"area":"agents"},{"id":"2605.15573","title":"Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems","created":"2026-05-15","cited_by_count":1,"area":"agents"},{"id":"2605.15706","title":"Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models","created":"2026-05-15","cited_by_count":1,"area":"agents"},{"id":"2605.17348","title":"Taming \"Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution","created":"2026-05-17","cited_by_count":1,"area":"agents"},{"id":"2605.26178","title":"ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy","created":"2026-05-25","cited_by_count":1,"area":"agents"},{"id":"2608.12921","title":"Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference","created":"2026-08-13","cited_by_count":1,"area":"agents"},{"id":"2608.27984","title":"When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems","created":"2026-08-28","cited_by_count":1,"area":"agents"},{"id":"2609.05774","title":"Inference-Time Graph Engineering for Multi-Agent LLM Workflows","created":"2026-09-04","cited_by_count":1,"area":"agents"},{"id":"2608.20099","title":"Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design","created":"2026-08-20","cited_by_count":0,"area":"agents"},{"id":"2609.13356","title":"ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search","created":"2026-09-11","cited_by_count":0,"area":"agents"},{"id":"2609.21527","title":"OpenMAS-GCom. A Diagnostic Benchmark for Graph-enhanced Multi-Agent Systems","created":"2026-09-18","cited_by_count":0,"area":"agents"},{"id":"2609.26667","title":"MAGIC: Mixed-Granularity Agent Graphs via Incremental Construction with Dense-Reward Reinforcement Learning","created":"2026-09-22","cited_by_count":0,"area":"agents"},{"id":"2610.13144","title":"Competence-Aware Orchestration for LLM-Based Multi-Agent Systems","created":"2026-10-09","cited_by_count":0,"area":"agents"},{"id":"2610.15258","title":"Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning","created":"2026-10-11","cited_by_count":0,"area":"agents"}],"next_cursor":null}