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A compilation of the best multi-agent papers

Python Version

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A compilation of the best multi-agent papers by the 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!

Format

  • [ Paper Name ] [ PDF ] [ PAPER LINK ]

Papers


Todo

  • Create a citations section with citations for every paper!

Community

Join the multi-agent community now on discord HERE

Citations

@misc{ong2024routellmlearningroutellms,
      title={RouteLLM: Learning to Route LLMs with Preference Data},
      author={Isaac Ong and Amjad Almahairi and Vincent Wu and Wei-Lin Chiang and Tianhao Wu and Joseph E. Gonzalez and M Waleed Kadous and Ion Stoica},
      year={2024},
      eprint={2406.18665},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2406.18665},
}
@misc{chiang2024chatbot,
    title={Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference},
    author={Wei-Lin Chiang and Lianmin Zheng and Ying Sheng and Anastasios Nikolas Angelopoulos and Tianle Li and Dacheng Li and Hao Zhang and Banghua Zhu and Michael Jordan and Joseph E. Gonzalez and Ion Stoica},
    year={2024},
    eprint={2403.04132},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}
@misc{li2024optimus1hybridmultimodalmemory,
      title={Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks}, 
      author={Zaijing Li and Yuquan Xie and Rui Shao and Gongwei Chen and Dongmei Jiang and Liqiang Nie},
      year={2024},
      eprint={2408.03615},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2408.03615}, 
}
@misc{ghafarollahi2024sciagentsautomatingscientificdiscovery,
      title={SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning}, 
      author={Alireza Ghafarollahi and Markus J. Buehler},
      year={2024},
      eprint={2409.05556},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2409.05556}, 
}