https://github.com/kyegomez/awesome-multi-agent-papers
A compilation of the best multi-agent papers
https://github.com/kyegomez/awesome-multi-agent-papers
List: awesome-multi-agent-papers
agents agents-team attention autogen autonomous-agents crewai langgraph llms multi-agent multiagent swarm swarms swarms-of-agents transformers transformers-models
Last synced: 3 months ago
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A compilation of the best multi-agent papers
- Host: GitHub
- URL: https://github.com/kyegomez/awesome-multi-agent-papers
- Owner: kyegomez
- Created: 2024-02-21T19:45:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-22T02:04:53.000Z (3 months ago)
- Last Synced: 2025-02-22T03:18:31.805Z (3 months ago)
- Topics: agents, agents-team, attention, autogen, autonomous-agents, crewai, langgraph, llms, multi-agent, multiagent, swarm, swarms, swarms-of-agents, transformers, transformers-models
- Language: TeX
- Homepage: https://discord.gg/GYbXvDGevY
- Size: 130 KB
- Stars: 382
- Watchers: 24
- Forks: 26
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-multi-agent-papers - A compilation of the best multi-agent papers. (Other Lists / Julia Lists)
README
A compilation of the best multi-agent papers
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A compilation of the best multi-agent papers by the [Swarms](https://github.com/kyegomez/swarms) Team. Our mission is to democratize multi-agent systems to automate the world economy with agents and usher in a post-scarcity Human civilization. [Join our community now!](https://discord.com/servers/agora-999382051935506503)
## Format
- [Paper Name] ([PDF PAPER LINK ]) bibtex short name
----
## Papers
- [K-Level Reasoning with Large Language Models](https://arxiv.org/pdf/2402.01521), zhang2024240201521
- [More agents is all you need](https://arxiv.org/pdf/2402.05120.pdf),li2024240205120
- [LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration ](https://arxiv.org/pdf/2402.11550), zhao2024240211550
- [Automated Unit Test Improvement using Large Language Models ](https://arxiv.org/pdf/2402.09171.pdf), alshahwan2024240209171
- [Human-level play in the game of Diplomacy by combining language models with strategic reasoning](https://www.science.org/doi/10.1126/science.ade9097)
- [AgentScope: A Flexible yet Robust Multi-Agent Platform ](https://arxiv.org/pdf/2402.14034.pdf), gao2024240214034
- [Experiential Co-Learning of Software-Developing Agents](https://arxiv.org/abs/2312.17025),qian2023231217025
- [ChatDev: Communicative Agents for Software Development](https://arxiv.org/pdf/2307.07924.pdf), qian2023230707924
- [Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Match Human Crowd Accuracy](https://arxiv.org/abs/2402.19379), schoenegger2024240219379
- [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442) park2023230403442
- [Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems](https://arxiv.org/pdf/2403.02419.pdf), chen2024240302419
- [Learning to Decode Collaboratively with Multiple Language Models](https://arxiv.org/abs/2403.03870), shen2024240303870
- [Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference](https://arxiv.org/abs/2403.04132), chiang2024240304132
- [SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents](https://arxiv.org/pdf/2403.08715.pdf), wang2024240308715
- [Mora: Enabling Generalist Video Generation via A Multi-Agent Framework](https://arxiv.org/pdf/2403.13248), yuan2024240313248
- [AIOS: LLM Agent Operating System](https://arxiv.org/pdf/2403.16971.pdf), mei2024240316971
- [MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution](https://arxiv.org/abs/2403.17927), tao2024240317927
- [AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models](https://huggingface.co/papers/2403.15157), zhang2024240315157
- [Scaling Instructable Agents Across Many Simulated Worlds](https://huggingface.co/papers/2404.10179), team2024240410179
- [Evolutionary Optimization of Model Merging Recipes](https://arxiv.org/html/2403.13187v1), akiba2024240313187
- [Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models](https://arxiv.org/abs/2404.18796), verga2024240418796
- [Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents](https://arxiv.org/abs/2405.02957), li2024240502957
- [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155), wu2023230808155
- [Chain of Agents: Large Language Models Collaborating on Long-Context Tasks](https://arxiv.org/abs/2406.02818), zhang2024240602818
- [CulturePark: Boosting Cross-cultural Understanding in Large Language Models](https://arxiv.org/abs/2405.15145), li2024240515145
- [Constitutional AI: Harmlessness from AI Feedback](https://arxiv.org/abs/2212.08073), bai2022221208073
- [Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration](https://huggingface.co/papers/2406.01014), wang2024240601014
- [Mixture-of-Agents Enhances Large Language Model Capabilities](https://arxiv.org/abs/2406.04692), wang2024240604692
- [AgentGym: Evolving Large Language Model-based Agents across Diverse Environments](https://huggingface.co/papers/2406.04151), xi2024240604151
- [CodeR: Issue Resolving with Multi-Agent and Task Graphs](https://arxiv.org/pdf/2406.01304), chen2024240601304
- [EvoAgent: Towards Automatic Multi-Agent: Generation via Evolutionary Algorithms](https://arxiv.org/pdf/2406.14228), yuan2024240614228
- [Scaling Synthetic Data Creation with 1,000,000,000 Personas](https://huggingface.co/papers/2406.20094), ge2024240620094
- [(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts](https://arxiv.org/abs/2405.11804), wu2024240511804
- [RouteLLM: An Open-Source Framework for Cost-Effective LLM Routing](https://lmsys.org/blog/2024-07-01-routellm/), ong2024240618665
- [On scalable oversight with weak LLMs judging strong LLMs](https://arxiv.org/abs/2407.04622), kenton2024240704622
- [AgentInstruct: Toward Generative Teaching with Agentic Flows](https://arxiv.org/abs/2407.03502), mitra2024240703502
- [On scalable oversight with weak LLMs judging strong LLMs](https://arxiv.org/abs/2407.04622)
- [Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents](https://arxiv.org/abs/2404.16698), piatti2024240416698
- [Very Large-Scale Multi-Agent Simulation in AgentScope](https://arxiv.org/abs/2407.17789), pan2024240717789
- [ Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents ](https://arxiv.org/abs/2404.16698), piatti2024cooperatecollapseemergencesustainable
- [Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence](https://arxiv.org/abs/2407.07061), chen2024240707061
- [LAMBDA: A Large Model Based Data Agent](https://arxiv.org/abs/2407.17535), sun2024240717535
- [Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning](https://huggingface.co/papers/2407.20798), palo2024240720798
- [From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models](https://arxiv.org/abs/2407.09502), nisioti2024240709502
- [Mindstorms in Natural Language-Based Societies of Mind](https://arxiv.org/abs/2305.17066), zhuge2023230517066
- [Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning](https://arxiv.org/abs/2310.03094), yue2023231003094
- [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://arxiv.org/abs/2308.07201), chan2023230807201
- [From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future](https://arxiv.org/abs/2408.02479), jin2024240802479
- [Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks](https://arxiv.org/abs/2408.03615), li2024240803615
- [The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery!](https://arxiv.org/abs/2408.06292), lu2024240806292
- [CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases](https://www.arxiv.org/abs/2408.03910), liu2024240803910
- [Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents](https://arxiv.org/abs/2408.07060), zhang2024240807060
- [Automated Design of Agentic Systems](https://arxiv.org/abs/2408.08435), hu2024240808435
- [The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation](https://arxiv.org/pdf/2408.08688), arif2024240808688
- [MEDCO: Medical Education Copilots Based on A Multi-Agent Framework](https://arxiv.org/pdf/2408.12496), wei2024240812496
- [Agentic Retrieval-Augmented Generation for Time Series Analysis](https://arxiv.org/abs/2408.14484), ravuru2024240814484
- [Optimizing Collaboration of LLM based Agents for Finite Element](https://arxiv.org/pdf/2408.13406), tian2024240813406
- [BreachSeek: A Multi-Agent Automated Penetration Tester](https://arxiv.org/abs/2409.03789), alshehri2024240903789
- [SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning](https://arxiv.org/pdf/2409.05556), ghafarollahi2024240905556
- [Large Language Model-Based Agents for Software Engineering: A Survey](https://arxiv.org/pdf/2409.02977), liu2024240902977
- [SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning](https://arxiv.org/abs/2409.05556)
- [AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing](https://arxiv.org/pdf/2409.10737), nunez2024240910737
- [Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent](https://arxiv.org/pdf/2409.11527), haji2024240911527,
- [LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Integration of Multi Active/Passive Core-Agents](https://arxiv.org/pdf/2409.11393), assouna2024240911393
- [Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts](https://huggingface.co/papers/2409.13449), wang2024240913449
- [Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration](https://arxiv.org/pdf/2410.02507), yuan2024241002507
- [FanCric: Multi-Agentic Framework for Crafting Fantasy 11 Cricket Teams](https://arxiv.org/pdf/2410.01307), bhatnagar2024241001307
- [RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance](https://arxiv.org/pdf/2410.01242), jin2024241001242
- [Agents' Room: Narrative Generation through Multi-step Collaboration](https://arxiv.org/pdf/2410.02603), huot2024241002603
- [GenSim: A General Social Simulation Platform with Large Language Model based Agents](https://arxiv.org/pdf/2410.04360), tang2024241004360
- [Adversarial Multi-Agent Evaluation of Large Language Models through Iterative Debates](https://arxiv.org/pdf/2410.04663), bandi2024241004663
- [Large Language Models can Achieve Social Balance](https://arxiv.org/pdf/2410.04054), cisneros-velarde2024241004054
- [AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML](https://arxiv.org/pdf/2410.02958), trirat2024241002958
- [Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining](https://huggingface.co/papers/2410.08102), bai2024241008102
- [Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System](https://huggingface.co/papers/2410.08115), chen2024241008115
- [Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence](https://arxiv.org/abs/2410.10934v1)
- [Agent-as-a-Judge: Evaluate Agents with Agents](https://arxiv.org/abs/2410.10934v1), zhuge2024241010934
- [AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions](https://arxiv.org/abs/2410.20424), li2024241020424
- [AFlow: Automating Agentic Workflow Generation](https://arxiv.org/pdf/2410.10762), zhang2024241010762
- [Agents Thinking Fast and Slow: A Talker-Reasoner Architecture](https://arxiv.org/pdf/2410.08328), christakopoulou2024241008328
- [AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments](https://arxiv.org/pdf/2405.07960), schmidgall2024agentclinicmultimodalagentbenchmark
- [DynaSaur: Large Language Agents Beyond Predefined Actions](https://arxiv.org/pdf/2411.01747), nguyen2024241101747
- [LLMs as Method Actors: A Model for Prompt Engineering and Architecture](https://arxiv.org/abs/2411.05778v1), doyle2024llmsmethodactorsmodel
- [DataLab: A Unifed Platform for LLM-Powered Business Intelligence](https://arxiv.org/abs/2412.02205), schmidgall2024agentclinicmultimodalagentbenchmark
- [Cultural Evolution of Cooperation among LLM Agents](https://arxiv.org/pdf/2412.10270), vallinder2024culturalevolutioncooperationllm
- [Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents](https://arxiv.org/abs/2412.13194), zhou2024proposeragentevaluatorpaeautonomousskilldiscovery
- [SDPO: Segment-Level Direct Preference Optimization for Social Agents](https://arxiv.org/abs/2501.01821), kong2025sdposegmentleveldirectpreference
- [BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery](https://arxiv.org/abs/2501.01540), gandhi2025boxinggymbenchmarkingprogressautomated
- [TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks](https://arxiv.org/abs/2412.14161), xu2024theagentcompanybenchmarkingllmagents
- [When One LLM Drools, Multi-LLM Collaboration Rules](https://arxiv.org/abs/2502.04506), eng2025llmdroolsmultillmcollaboration
- [PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC](https://arxiv.org/abs/2502.14282), liu2025pcagenthierarchicalmultiagentcollaboration
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# Citations
In the arxiv_bibtex.bib file, you can find the bibtex citations for all the papers in this repository.
# Community
Join the multi-agent community now on discord [HERE](https://discord.com/servers/agora-999382051935506503)