LLM-based Multi Agents System Papers

Agent

记忆模块/认知结构/推理能力等

• Agent Instructs Large Language Models to be General Zero-Shot Reasoners (arXiv 2023) [paper] [code]
• OKR-Agent: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation (arXiv 2023) [paper]
• MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models (arXiv 2024) [paper] [code]
• Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration (NAACL 2024) [paper] [code]
• XAgent：An Autonomous LLM Agent for Complex Task Solving () [paper] [code]
• Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4 (arXiv 2023) [paper] [code]
• ReAct: SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS (ICLR 2023) [paper] [code]
• Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (ACL 2023) [paper] [code]
• AotoAct: Automatic Agent Learning from Scratch via Self-Planning (** arXiv 2024**) [paper] [code]
• Generative Agents: Interactive Simulacra of Human Behavior (UIST 2023) [paper] [code]
• Toolformer: Language Models Can Teach Themselves to Use Tools (NeurIPS 2023) [paper] [code]
• HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face (NeurIPS 2023) [paper] [code]
• SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series (ICLR 2024) [paper] [code]
• Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control (ICLR 2024) [paper] [code]
• DiLu: A Knowledge-Driven Approach to Autonomous Driving With Large Language Models (ICLR 2024) [paper]
• LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration (arXiv 2024) [paper] [code]
• On Generative Agents in Recommendation (arXiv 2023) [paper]
• Self-Reflection in LLM Agents: Effects on Problem-Solving Performance (arXiv 2024) [paper] [code]
• Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations (arXiv 2024) [paper] [code]
• Empowering Conversational Agents using Semantic In-Context Learning (BEA 2023) [paper] [code]
• GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning (arXiv 2024) [paper]
• TORA: A TOOL-INTEGRATED REASONING AGENT FOR MATHEMATICAL PROBLEM SOLVING (ICLR 2024) [paper] [code]

Agent Tuning/训练/纠错等

• CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models (arXiv 2024) [paper] [code]
• Reflexion: Language Agents with Verbal Reinforcement Learning (NeurIPS 2023) [paper] [code]
• FireAct : TOWARD LANGUAGE AGENT FINE-TUNING (arXiv 2023) [paper] [code]
• AgentTuning: Enabling Generalized Agent Abilities for LLMs (arXiv 2023) [paper] [code]
• Towards Conversational Diagnostic AI (arXiv 2024) [paper] [code]

多智能体

多智能体协作方法/通信结构等

• LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models (arXiv 2024) [paper] [code]
• Multi-Agent Consensus Seeking via Large Language Models (arXiv 2023) [paper] [code]
• Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration (arXiv 2023) [paper] [code]
• Chain-of-Experts: When LLMs Meet Complex Operations Research Problems (ICLR 2024) [paper] [code]
• Theory of Mind for Multi-Agent Collaboration via Large Language Models (emnlp 2023) [paper]
• Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration (arXiv 2023) [paper] [code]
• CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society (NeurIPS 2023) [paper] [code]
• Experiential Co-Learning of Software-Developing Agents (arXiv 2023) [paper]
• SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems (arXiv 2024) [paper] [code]
• Generative Agents: Interactive Simulacra of Human Behavior (UIST 2023) [paper] [code]
• ProAgent: Building Proactive Cooperative Agents with Large Language Models (AAAI 2024) [paper] [code]
• Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach (arxiv 2023) [paper]
• Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate (arxiv 2023) [paper] [code]
• Multi-Agent Software Development through Cross-Team Collaboration (arxiv 2024) [paper] [code]
• Scaling Large-Language-Model-based Multi-Agent Collaboration (arxiv 2024) [paper] [code]

社会模拟框架/任务解决框架

• MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge (EML 2024) [paper] [code]
• Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View (arXiv 2023) [paper] [code]
• SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents (ICLR 2024) [paper] [code]
• ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (ICLR 2024) [paper] [code]
• Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization (arXiv 2023) [paper] [code]
• Playing repeated games with Large Language Models (arXiv 2023) [paper]
• Communicative Agents for Software Development (ICLR 2024) [paper] [code]
• AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors (ICLR 2024) [paper] [code]
• ChemCrow: Augmenting large-language models with chemistry tools (NeurIPS 2023) [paper]] [code]
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (arXiv 2023) [paper] [code]
• AutoAgents: A Framework for Automatic Agent Generation (arXiv 2024) [paper] [code]
• Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents (arXiv 2024) [paper]
• Player-Driven Emergence in LLM-Driven Game Narrative (arXiv 2024) [paper]
• Enhancing the Efficiency and Accuracy of Underlying Asset Reviews in Structured Finance: The Application of Multi-agent Framework (arXiv 2024) [paper] [code]
• MapCoder: Multi-Agent Code Generation for Competitive Problem Solving (arXiv 2024) [paper] [code]
• Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration (NAACL 2024) [paper] [code]
• AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems (WWW 2024) [paper] [code]（不存在）
• On Generative Agents in Recommendation (SIGIR 2024) [paper] [code]

评测

• LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models (arXiv 2024) [paper] [code]
• MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration (arXiv 2023) [paper] [code]
• LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments (arXiv 2024) [paper] [code]
• SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents (ICLR 2024) [paper] [code]
• ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents (arXiv 2024) [paper] [code]
• Large Language Models as Rational Players in Competitive Economics Game (arXiv 2024) [paper]
• AgentBench: Evaluating LLMs as Agents (ICLR 2024) [paper] [code]
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework (ICLR 2024) [paper] [code]
• LARGE LANGUAGE MODEL EVALUATION VIA MULTI AI AGENTS: PRELIMINARY RESULTS (ICLR 2024) [paper]
• MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents (arXiv 2024) [paper] [code]

综述

• Understanding the planning of LLM agents: A survey (arXiv 2024) [paper]
• A Survey on Large Language Model based Autonomous Agents (Front. Comput. Sci. 2024) [paper] [code]
• AGENT AI: SURVEYING THE HORIZONS OF MULTIMODAL INTERACTION (arXiv 2024) [paper]
• The Rise and Potential of Large Language Model Based Agents: A Survey (ICML 2024) [paper] [code]
• Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives (arXiv 2023) [paper]
• LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions (arXiv 2024) [paper]
• Large Language Model based Multi-Agents: A Survey of Progress and Challenges (arXiv 2024) [paper] [code]