Awesome Large Language Model/Large Multi-modal Model -based Multi-Agents

A compilation of LLM powered multiagent papers or projects. BibTex citation if you find our work useful:

@misc{llmma2023,
  author = {Andrew Zhao},
  title = {Awesome LLM-based Multi-Agents},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{[https://github.com/charlespwd/project-title](https://github.com/Andrewzh112/Awesome-LLM-based-MultiAgents)}}
}

We welcome any contributions, discussions or feedbacks via PRs, issues, emails.

Table of Content (ToC)

• Awesome Large Language Model/Large Multi-modal Model -based Multi-Agents
  • News
  • Background
    • Multi-Agent Systems/Multi-Agent Reinforcement Learning (Books)
  • Cooperative
  • Competitive
  • Mixed
  • Benchmarks
  • Taxonomy/Cognitive Architectures
  • Theory of Mind
  • Social/Simulation/Role-play
  • Tool-use
  • Alignment
  • LLM Evaluation
  • Self-play
  • Debating/Discussion
  • Applications
    • Computer Tasks
    • Recommender System
    • Chatbots/Dialogues
    • Robotics
    • Autonomous Driving
    • Others
  • Open-source Projects
  • Contacts
  • Other LLM-based Agent Repositories
  • TODOs
  • Star History

News

• 🎉 [2023/12/28] Publicly released repo.

Background

Multi-Agent Systems/Multi-Agent Reinforcement Learning (Books)

• [2023] Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Massachusetts Institute of Technology. [Book]
• [2008] Multiagent systems: Algorithmic, game-theoretic, and logical foundations Cambridge University Press [Book]

Cooperative

• [2024/10] MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Yubin Kim et al. arXiv [Paper] *
• [2023/12] LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination Jijia Liu et al. arXiv [Paper] *
• [2023/11] Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model Based Agents Qinghua Lu et al. arXiv [Paper] *
• [2023/11] Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach Bin Zhang et al. arXiv [Paper] *
• [2023/11] StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving Chang Gao et al. arXiv [Paper] * (pipeline)
• [2023/11] Towards A Natural Language Interface for Flexible Multi-Agent Task Assignment Jake Brawer et al. arXiv [Paper] #
• [2023/10] Conversational Swarm Intelligence, a Pilot Study Louis Rosenberg et al. arXiv [Paper] * (swarm)
• [2023/10] Efficient Human-AI Coordination via Preparatory Language-based Convention ICLR 2024 Conference Submission3413 Authors [Paper] * (communication)
• [2023/10] Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models ICLR 2024 Conference Submission7085 Authors [Paper] * (communication)
• [2023/10] AXNav: Replaying Accessibility Tests from Natural Language Maryam Taeb et al. arXiv [Paper] #
• [2023/10] Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond Liang Chen (PKU) et al. arXiv [Paper|Code] #
• [2023/10] Adapting LLM Agents Through Communication Kuan Wan (GaTech) et al. arXiv [Paper] * (communication)
• [2023/10] Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization Zijun Liu (Tsinghua) et al. arXiv [Paper|Code] #
• [2023/10] OKR-Agent: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation ICLR 2024 Conference Submission3430 Authors [Paper] #
• [2023/10] AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Qingyun Wu (Microsoft) et al. arXiv [Paper|Project Page|Code] *
• [2023/10] MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents Yuan Li (Cambridge) et al. arXiv [Paper] *
• [2023/10] Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge John Tan Chong Min (NUS) et al. arXiv [Paper] #
• [2023/10] Evaluating Multi-Agent Coordination Abilities in Large Language Models Saaket Agashe (UC Santa Cruz) et al. arXiv [Paper] #
• [2023/09] Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions Yuxing Long (PKU) et al. arXiv [Paper] #
• [2023/09] AutoAgents: The Automatic Agent Generation Framework Guangyao Chen (PKU) et al. arXiv [Paper|Project Page|Code] *
• [2023/09] Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? Yongchao Chen (MIT) et al. arXiv [Paper] *
• [2023/08] GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems Nathalia Nascimento (Waterloo) et al. arXiv [Paper] *
• [2023/08] CGMI: Configurable General Multi-Agent Interaction Framework Jinxin Shi et al. arXiv [Paper] *
• [2023/08] InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent Po-Lin Chen et al. arXiv [Paper] *
• [2023/08] ProAgent: Building Proactive Cooperative AI with Large Language Models Ceyao Zhang (The Chinese University of Hong Kong) et al. arXiv [Paper|Project Page|Code] *
• [2023/08] BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents Zhiwei Liu (Salesforce) et al. arXiv. [Paper|Code] *
• [2023/07] Building Cooperative Embodied Agents Modularly with Large Language Models Hongxin Zhang (University of Massachusetts Amherst) et al. arXiv [Paper|Project Page|Code] *
• [2023/06] Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs I. de Zarzà et al. arXiv [Paper] *
• [2023/06] Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents Yashar Talebirad (University of Alberta) et al. Advances in Theories and Applications of Multi-Agent Systems [Paper] *
• [2023/05] SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin (Allen Institute) et al. NeuRIPS 2023 [Paper|Code] *
• [2023/04] Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback Nikhil Mehta (Purdue) et al. arXiv [Paper] #
• [2023/03] DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents Varun Nai et al. arXiv [Paper] #

Competitive

• [2023/11] SELF GENERATED WARGAME AI: DOUBLE LAYER AGENT TASK PLANNING BASED ON LARGE LANGUAGE MODEL Yuxiang Sun et al. arXiv [Paper] #
• [2023/10] CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents Qinlin Zhao et al. arXiv [Paper] #
• [2023/10] Large Language Models As Rational Players In Competitive Economics Games ICLR 2024 Conference Submission2817 Authors [Paper] #
• [2023/10] Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena Jiangjie Chen (Fudan) et al. arXiv [Paper|Project Page|Code] #
• [2023/10] Large Language Models as Gaming Agents ICLR 2024 Conference Submission5875 Authors [Paper] #
• [2023/08] Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis Akshat Gupta (UC Berkeley) et al. arXiv [Paper] #
• [2023/05] Playing repeated games with Large Language Models Elif Akata (University of Tübingen) et al. arXiv [Paper] #

Mixed

• [2023/11] Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games Dekun Wu (MILA) et al. arXiv [Paper] #
• [2023/11] MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration Lin Xu (NUS) et al. arXiv [Paper] #
• [2023/11] ALYMPICS: Language Agents Meet Game Theory Shaoguang Mao (MSRA) et al. arXiv [Paper] #
• [2023/10] LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay Yihuai Lan (Hong Kong University of Science and Technology) et al. arXiv [Paper] #
• [2023/10] Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICLR 2024 Conference Submission7720 Authors [Paper] * (learning)
• [2023/10] Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models ICLR 2024 Conference Submission3201 Authors [Paper] #
• [2023/10] Exploring Collaboration Mechanisms for LLM Agents Jintian Zhang (Zhejiang University) et al. arXiv [Paper] *
• [2023/10] Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation Shenzhi Wang (Tsinghua) et al. arXiv [Paper] * (ToM)
• [2023/10] Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4 Jiaxian Guo (University of Tokyo) et al. arXiv [Paper|Demo|Code] * (ToM)
• [2023/09] Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf Yuzhuang Xu (Tsinghua) et al. arXiv [Paper] #
• [2023/08] Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models Aidan O’Gara (USC) et al. arXiv [Paper|Code] #

Benchmarks

• [2023/10] SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents Xuhui Zhou (CMU) et al. arXiv [Paper|Project Page|Code] #
• [2023/10] CivRealm: A Learning and Reasoning Odyssey for Decision-Making Agents ICLR 2024 Conference Submission1285 Authors [Paper] #
• [2023/10] Welfare Diplomacy: Benchmarking Language Model Cooperation ICLR 2024 Conference Submission413 Authors [Paper] #
• [2023/10] DynaEval: A Dynamic Interaction-based Evaluation Framework for Assessing LLMs in Real-world Scenarios ICLR 2024 Conference Submission5534 Authors [Paper] #
• [2023/10] From Text to Tactic: Evaluating LLMs Playing the Game of Avalon Jonathan Light et al. arXiv [Paper] #
• [2023/09] MindAgent: Emerging Gaming Interaction Ran Gong (UCLA) et al. arXiv [Paper|Project Page] #
• [2023/08] Flows: Building Blocks of Reasoning and Collaborating AI Martin Josifoski (EPFL) et al. arXiv [Paper|Code] #
• [2023/08] AgentSims: An Open-Source Sandbox for Large Language Model Evaluation Jiaju Lin (PTA Studio) et al. arXiv [Paper|Project Page|Code] #
• [2023/07] Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models Yuanzhi Liang et al. arXiv [Paper|Code] #

Taxonomy/Cognitive Architectures

• [2023/10] Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures Thorsten Händler et al. arXiv [Paper] *
• [2023/09] Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis Oscar J. Romero (CMU) et al. arXiv [Paper] *

Theory of Mind

• [2023/10] Theory of Mind for Multi-Agent Collaboration via Large Language Models Huao Li et al. arXiv [Paper] * (ToM)
• [2023/10] Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models Courtland Leer et al. arXiv [Paper] * (ToM)
• [2023/10] How FaR Are Large Language Models From Agents with Theory-of-Mind? Pei Zhou (Google) et al. arXiv [Paper] * (ToM)

Social/Simulation/Role-play

• [2023/12] The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective George Gui et al. arXiv [Paper] #
• [2023/12] Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia Alexander Sasha Vezhnevets (Google DeepMind) et al. arXiv [Paper] #
• [2023/11] How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting! Shirley Anugrah Hayati et al. arXiv [Paper] #
• [2023/11] Enhancing Understanding in Generative Agents through Active Inquiring Jiaxin Ge et al. NeurIPS IMOL Workshop [Paper] *
• [2023/11] Simulating Opinion Dynamics with Networks of LLM-based Agents Yun-Shiuan Chuang et al. arXiv [Paper] *
• [2023/11] Language Agents as Digital Representatives in Collective Decision-Making Daniel Jarrett et al. NeuRIPS Workshop in Foundation Models for Decision Making [Paper] *
• [2023/11] Mitigating Generative Agent Social Dilemmas Julian Yocum et al. NeuRIPS Workshop in Foundation Models for Decision Making [Paper] *
• [2023/10] Humanoid Agents: Platform for Simulating Human-like Generative Agents Zhilin Wang (University of Washington) et al. arXiv [Paper|Project Page|Code] #
• [2023/10] Lyfe Agents: Generative agents for low-cost real-time social interactions Zhao Kaiya (MIT) et al. arXiv [Paper] *
• [2023/10] S3: Social-network Simulation System with Large Language Model-Empowered Agents Chen Gao (Tsinghua) et al. arXiv [Paper] #
• [2023/09] Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence Navid Ghaffarzadegan (Virginia Tech) et al. arXiv [Paper] *
• [2023/08] Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering Edward Junprung et al. arXiv [Paper] *
• [2023/08] SAPIEN: Affective Virtual Agents Powered by Large Language Models Masum Hasan (University of Rochester) et al. arXiv [Paper] #
• [2023/08] AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors Weize Chen (Tsinghua) et al. arXiv [Paper|Code] #
• [2023/08] Quantifying the Impact of Large Language Models on Collective Opinion Dynamics Chao Li et al. arXiv [Paper] *
• [2023/07] To Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations Philipp Maas (Fable Studio) et al. arXiv [Paper|Project Page] #
• [2023/07] Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks Siyu Li (Virginia Tech) et al. arXiv [Paper] #
• [2023/07] Epidemic Modeling with Generative Agents Ross Williams (Virginia Tech) et al. arXiv [Paper|Code] #
• [2023/05] Role-Play with Large Language Models Murray Shanahan (Deepmind) et al. arXiv [Paper] #
• [2023/05] The Role of Summarization in Generative Agents: A Preliminary Perspective Xiachong Feng et al. arXiv [Paper] *
• [2023/04] Generative Agents: Interactive Simulacra of Human Behavior Joon Sung Park (Stanford) et al. arXiv [Paper|Code] *
• [2023/03] CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society Guohao Li (KAUST) et al. NeuRIPS 2023 [Paper|Project Page|Code] *
• [2023/01] Blind Judgement: Agent-Based Supreme Court Modelling With GPT Sil Hamilton (McGill) et al. arXiv [Paper] #
• [2022/08] Social Simulacra: Creating Populated Prototypes for Social Computing Systems Joon Sung Park (Stanford) et al. arXiv [Paper|Project Page] #

Tool-use

• [2023/10] TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration Hongru Wang (The Chinese University of Hong Kong) et al. arXiv [Paper] #
• [2023/08] Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs Binfeng Xu et al. arXiv [Paper|Project Page|Code] #

Alignment

• [2023/05] Training Socially Aligned Language Models in Simulated Human Society Ruibo Liu (Dartmouth) et al. arXiv [PaperCode] *

LLM Evaluation

• [2023/09] Evaluating Agents using Social Choice Theory Marc Lanctot et al. arXiv [Paper] #
• [2023/09] LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games Sahar Abdelnabi et al. arXiv [Paper|Code] #
• [2023/08] ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate Chi-Min Chan (Tsinghua) et al. arXiv [Paper|Code] #
• [2022/12] Evaluating Human-Language Model Interaction Mina Lee (Stanford) et al. TMLR [Paper] #

Self-play

• [2023/05] Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback Yao Fu (University of Edinburgh) et al. arXiv [Paper|Code] * (learn)

Debating/Discussion

• [2023/11] Apollo’s Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates Haotian Wang et al. arXiv [Paper] #
• [2023/11] On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts Qineng Wang et al. arXiv [Paper|Code] #
• [2023/11] Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration Zhenran Xu et al. arXiv [Paper] #
• [2023/11] On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts Qineng Wang et al. arXiv [Paper] #
• [2023/10] SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series ICLR 2024 Conference Submission2968 Authors [Paper] #
• [2023/10] Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration Qiushi Sun (Shanghai AI Laboratory) et al. arXiv [Paper] #
• [2023/10] ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions Jeongeon Park (KAIST) et al. arXiv [Paper] #
• [2023/10] Let Models Speak Ciphers: Multiagent Debate through Embeddings Chau Pham (Boston University) et al. arXiv [Paper] #
• [2023/09] Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions Yuxing Long (PKU) et al. arXiv [Paper] #
• [2023/09] ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs Justin Chih-Yao Chen (University of North Carolina at Chapel Hill) et al. arXiv [Paper|Code] #
• [2023/07] PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations Ruosen Li (The University of Texas at Dallas) et al. arXiv [Paper|Code] #
• [2023/07] Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration Zhenhailong Wang (University of Illinois Urbana-Champaign) et al. arXiv [Paper|Code] #
• [2023/05] Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate Kai Xiong et al. arXiv [Paper] #
• [2023/05] LM vs LM: Detecting Factual Errors via Cross Examination Roi Cohen (Tel Aviv University) et al. arXiv [Paper] #
• [2023/05] Mindstorms in Natural Language-Based Societies of Mind Mingchen Zhuge (KAUST) et al. arXiv [Paper] #
• [2023/05] Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate Tian Liang (Tsinghua) et al. arXiv [Paper|Code] #
• [2023/05] Improving Factuality and Reasoning in Language Models through Multiagent Debate Yilun Du (MIT) et al. arXiv [Paper|Project Page|Code] #
• [2023/04] ChatLLM Network: More brains, More intelligence Rui Hao (Beijing University of Posts and Telecommunications) et al. arXiv [Paper] #
• [2022/04] Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language Andy Zeng (Google) et al. ICLR 2023 [Paper|Project Page|Code] #

Applications

Computer Tasks

• [2023/12] MAC-SQL: Multi-Agent Collaboration for Text-to-SQL Bing Wang (Beihang University) et al. arXiv [Paper]
• [2023/10] GameGPT: Multi-agent Collaborative Framework for Game Development Dake Chen et al. arXiv [Paper]
• [2023/10] Communicative Agents for Software Development Chen Qian (Tsinghua) et al. arXiv [Paper|Code]
• [2023/09] MetaGPT: Meta Programming for Multi-Agent Collaborative Framework Sirui Hong (DeepWisdom) et al. arXiv [Paper|Code]
• [2023/08] LLM As DBA Xuanhe Zhou (Tsinghua) et al. arXiv [Paper|Code]
• [2023/04] Self-collaboration Code Generation via ChatGPT Yihong Dong et al. arXiv [Paper]

Recommender System

• [2023/10] On Generative Agents in Recommendation An Zhang (National University of Singapore) et al. arxiv [Paper]
• [2023/10] AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems Junjie Zhang (Renmin University) et al. arXiv [Paper]
• [2023/08] Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations Yancheng Wang (Arizona State University) et al. arXiv [Paper]
• [2023/08] RecMind: Large Language Model Powered Agent For Recommendation Xu Huang (University of Science and Technology of China) et al. arXiv [Paper]

Chatbots/Dialogues

• [2023/11] A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User’s Intentions Siwei Wu et al. arXiv [Paper]
• [2023/09] Rehearsal: Simulating Conflict to Teach Conflict Resolution Omar Shaikh (Stanford) et al. arXiv [Paper]
• [2023/07] DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models Chengcheng Han et al. arXiv [Paper]
• [2023/07] DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations Bo-Ru Lu (University of Washington) et al. arXiv [Paper]
• [2023/06] Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models Jimmy Wei (Cornell) et al. arXiv [Paper|Project Page]
• [2023/05] Decision-Oriented Dialogue for Human-AI Collaboration Jessy Lin (UC Berkeley) et al. arXiv [[Paper](Decision-Oriented Dialogue for Human-AI Collaboration)|Project Page|Code]
• [2023/04] Single or Multiple Conversational Agents?: An Interactional Coherence Comparison Ana Paula Chaves et al. Proceedings of the ACM on Human-Computer Interaction [Paper]
• [2023/04] CommunityBots: Creating and Evaluating A Multi-Agent Chatbot Platform for Public Input Elicitation Zhiqiu Jiang (University of Massachusetts Amherst) et al. Proceedings of the ACM on Human-Computer Interaction [Paper]

Robotics

• [2023/09] Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems? Yongchao Chen (MIT) et al. arXiv [Paper|Project Page|Code]
• [2023/09] SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models Shyam Sundar Kannan (Purdue) et al. arXiv [Paper]
• [2023/07] RoCo: Dialectic Multi-Robot Collaboration with Large Language Models Zhao Mandi (Columbia) et al. arXiv [Paper|Project Page|Code]

Autonomous Driving

• [2023/12] Large Language Models for Autonomous Driving: Real-World Experiments Can Cui et al. arXiv. [Paper]
• [2023/11] A Language Agent for Autonomous Driving Jiageng Mao et al. arXiv. [Paper|Project Page|Code]
• [2023/10] Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models Tsun-Hsuan Wang (MIT) et al. arXiv. [Paper]
• [2023/10] Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles Can Cui (Purdue) et al. arXiv. [Paper]
• [2023/10] LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving Hao Sha (Tsinghua) et al. arXiv. [Paper]
• [2023/09] SurrealDriver: Designing Generative Driver Agent Simulation Framework in Urban Contexts based on Large Language Model Ye Jin (Tsinghua) et al. arXiv. [Paper]
• [2023/09] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models Licheng Wen (Shanghai AI Laboratory) et al. arXiv. [Paper]

Others

• [2023/12] Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM Xiaopeng Li et al. arXiv [Paper]
• [2023/12] AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation Dong Huang et al. arXiv [Paper]
• [2023/12] Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach Weiyu Ma et al. arXiv [Paper]
• [2023/12] LLM as OS (llmao), Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem Yingqiang Ge et al. arXiv [Paper]
• [2023/12] Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction Hongbin Ye et al. arXiv [Paper]
• [2023/11] TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System Haoyuan Li et al. arXiv [Paper]
• [2023/11] War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars Wenyue Hua et al. arXiv [Paper]
• [2023/11] Evil Geniuses: Delving into the Safety of LLM-based Agents Yu Tian (Tsinghua) et al. arXiv [Paper]
• [2023/11] DesignGPT: Multi-Agent Collaboration in Design Shiying Ding et al. arXiv [Paper]
• [2023/11] MEDAGENTS: Large Language Models as Collaborators for Zero-shot Medical Reasoning Xiangru Tang (Yale) et al. arXiv [Paper]
• [2023/11] On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering Linyong Nan et al. arXiv [Paper]
• [2023/11] MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge Bo Ni et al. arXiv [Paper]
• [2023/11] Large Language Models are Zero Shot Hypothesis Proposers Biqing Qi (Tsinghua) et al. arXiv [Paper]
• [2023/11] Leveraging Large Language Models for Collective Decision-Making Marios Papachristou (Cornell) et al. arXiv [Paper]
• [2023/11] Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review Mingze Yuan (PKU) et al. arXiv [Paper|Code]
• [2023/10] 3D-GPT: Procedural 3D Modeling with Large Language Models Chunyi Sun et al. arXiv [Paper]
• [2023/10] Stance Detection with Collaborative Role-Infused LLM-Based Agents Xiaochong Lan (Tsinghua University) et al. arXiv [Paper]
• [2023/10] How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent Yiren Liu (University of Illinois Urbana-Champaign) et al. arXiv [Paper]
• [2023/10] Large Language Models Can Design Game-Theoretic Objectives for Multi-Agent Planning ICLR 2024 Conference Submission8283 Authors [Paper]
• [2023/10] Chain-of-Experts: When LLMs Meet Complex Operations Research Problems ICLR 2024 Conference Submission5639 Authors [Paper]
• [2023/10] Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting Zhiyu Chen (CMU) et al. arXiv [Paper]
• [2023/10] The Effect of Context-aware LLM-based NPC Conversations on Player Engagement in Role-playing Video Games Lajos Matyas Csepregi et al. arXiv [Paper]
• [2023/09] TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance Yang Li et al. arXiv [Paper]
• [2023/09] Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence Hang Zou et al. arXiv [Paper]
• [2023/05] ChatGPT as your Personal Data Scientist Md Mahadi Hassan (Auburn) et al. arXiv [Paper]

Open-source Projects

• GPTeam: Collaborative AI Agents [Code]

---

Contacts

• Andrew Zhao [Email: zqc21@mails.tsinghua.edu.cn|Personal Page]

Other LLM-based Agent Repositories

• 🐨CoALA: Awesome Language Agents
• The Rise and Potential of Large Language Model Based Agents: A Survey
• A Survey on LLM-based Autonomous Agents

TODOs

• Make repo visible to public
• Init commit added existing papers

Star History

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