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LLMs as Agents

Here're some resources about LLMs as Agents

Method

Chain of Ideas: Revolutionizing Research in Novel Idea Development with LLM Agents

tag: Chain of Ideas | CoI | DAMO Academy | Alibaba Group | Zhejiang University

paper link: here

github link: here

citation:

@misc{li2024chainideasrevolutionizingresearch,
      title={Chain of Ideas: Revolutionizing Research in Novel Idea Development with LLM Agents}, 
      author={Long Li and Weiwen Xu and Jiayan Guo and Ruochen Zhao and Xinxuan Li and Yuqian Yuan and Boqiang Zhang and Yuming Jiang and Yifei Xin and Ronghao Dang and Deli Zhao and Yu Rong and Tian Feng and Lidong Bing},
      year={2024},
      eprint={2410.13185},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2410.13185}, 
}

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

tag: MindSearch | Shanghai AILab | USTC

paper link: here

github link: here

citation:

@misc{chen2024mindsearchmimickinghumanminds,
      title={MindSearch: Mimicking Human Minds Elicits Deep AI Searcher}, 
      author={Zehui Chen and Kuikun Liu and Qiuchen Wang and Jiangning Liu and Wenwei Zhang and Kai Chen and Feng Zhao},
      year={2024},
      eprint={2407.20183},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2407.20183}, 
}

Symbolic Learning Enables Self-Evolving Agents

tag: Agents 2.0 | Symbolic Learning | AIWaves

paper link: here

github link: here

citation:

@misc{zhou2024symboliclearningenablesselfevolving,
      title={Symbolic Learning Enables Self-Evolving Agents}, 
      author={Wangchunshu Zhou and Yixin Ou and Shengwei Ding and Long Li and Jialong Wu and Tiannan Wang and Jiamin Chen and Shuai Wang and Xiaohua Xu and Ningyu Zhang and Huajun Chen and Yuchen Eleanor Jiang},
      year={2024},
      eprint={2406.18532},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2406.18532}, 
}

Husky- A Unified, Open-Source Language Agent for Multi-Step Reasoning

tag: Husky | Meta | Allen AI

paper link: here

github link: here

model links:

model name link
Husky-v1-math-deepseekmath-7b-instruct here
Husky-v1-code-deepseekcoder-7b-instruct here
Husky-v1-action-llama2-13b here
Husky-v1-action-llama2-7b here
Husky-v1-query-llama2-7b here

citation:

@misc{kim2024huskyunifiedopensourcelanguage,
      title={Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning}, 
      author={Joongwon Kim and Bhargavi Paranjape and Tushar Khot and Hannaneh Hajishirzi},
      year={2024},
      eprint={2406.06469},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
      url={https://arxiv.org/abs/2406.06469}, 
}

LLM Augmented Hierarchical Agents

tag: LLM-HRL | CoRL23

paper link: here

citation:

@misc{prakash2023llm,
      title={LLM Augmented Hierarchical Agents}, 
      author={Bharat Prakash and Tim Oates and Tinoosh Mohsenin},
      year={2023},
      eprint={2311.05596},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

tag: ModelScope-Agent | DAMO Academy | Alibaba Group

paper link: here

github link: here

citation:

@article{li2023modelscope,
  title={ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models},
  author={Li, Chenliang and Chen, Hehong and Yan, Ming and Shen, Weizhou and Xu, Haiyang and Wu, Zhikai and Zhang, Zhicheng and Zhou, Wenmeng and Chen, Yingda and Cheng, Chen and others},
  journal={arXiv preprint arXiv:2309.00986},
  year={2023}
}

AutoAgents: A Framework for Automatic Agent Generation

tag: AutoAgents | Peking University

paper link: here

github link: here

tutorial link: here

citation:

@article{chen2023autoagents,
  title={AutoAgents: A Framework for Automatic Agent Generation},
  author={Chen, Guangyao and Dong, Siwei and Shu, Yu and Zhang, Ge and Sesay, Jaward and Karlsson, B{\"o}rje F and Fu, Jie and Shi, Yemin},
  journal={arXiv preprint arXiv:2309.17288},
  year={2023}
}

Agents: An Open-source Framework for Autonomous Language Agents

tag: Agents | AIWaves

paper link: here

github link: here

follow-up work: here

citation:

@article{zhou2023agents,
  title={Agents: An Open-source Framework for Autonomous Language Agents},
  author={Zhou, Wangchunshu and Jiang, Yuchen Eleanor and Li, Long and Wu, Jialong and Wang, Tiannan and Qiu, Shi and Zhang, Jintian and Chen, Jing and Wu, Ruipu and Wang, Shuai and others},
  journal={arXiv preprint arXiv:2309.07870},
  year={2023}
}

Autogen: Enabling next-gen llm applications via multi-agent conversation framework

tag: AutoGen | Microsoft

paper link: here

github link: here

citation:

@article{wu2023autogen,
  title={Autogen: Enabling next-gen llm applications via multi-agent conversation framework},
  author={Wu, Qingyun and Bansal, Gagan and Zhang, Jieyu and Wu, Yiran and Zhang, Shaokun and Zhu, Erkang and Li, Beibin and Jiang, Li and Zhang, Xiaoyun and Wang, Chi},
  journal={arXiv preprint arXiv:2308.08155},
  year={2023}
}

ToolLLM: Facilitating large language models to master 16000+ real-world apis

tag: ToolLLM | NIPS23 | Tsinghua University

paper link: here

github link: here

citation:

@article{qin2023toolllm,
  title={Toolllm: Facilitating large language models to master 16000+ real-world apis},
  author={Qin, Yujia and Liang, Shihao and Ye, Yining and Zhu, Kunlun and Yan, Lan and Lu, Yaxi and Lin, Yankai and Cong, Xin and Tang, Xiangru and Qian, Bill and others},
  journal={arXiv preprint arXiv:2307.16789},
  year={2023}
}

ChatDev: Communicative Agents for Software Development

tag: ChatDev | Tsinghua University

paper link: here

github link: here

citation:

@article{qian2023communicative,
  title={Communicative agents for software development},
  author={Qian, Chen and Cong, Xin and Yang, Cheng and Chen, Weize and Su, Yusheng and Xu, Juyuan and Liu, Zhiyuan and Sun, Maosong},
  journal={arXiv preprint arXiv:2307.07924},
  year={2023}
}

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

tag: ToolAlpaca | ISCAS

paper link: here

github link: here

citation:

@misc{tang2023toolalpacageneralizedtoollearning,
      title={ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases}, 
      author={Qiaoyu Tang and Ziliang Deng and Hongyu Lin and Xianpei Han and Qiao Liang and Boxi Cao and Le Sun},
      year={2023},
      eprint={2306.05301},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2306.05301}, 
}

Mindstorms in Natural Language-Based Societies of Mind

tag: NLSOMs | KAUST

paper link: here

citation:

@misc{zhuge2023mindstorms,
      title={Mindstorms in Natural Language-Based Societies of Mind}, 
      author={Mingchen Zhuge and Haozhe Liu and Francesco Faccio and Dylan R. Ashley and Róbert Csordás and Anand Gopalakrishnan and Abdullah Hamdi and Hasan Abed Al Kader Hammoud and Vincent Herrmann and Kazuki Irie and Louis Kirsch and Bing Li and Guohao Li and Shuming Liu and Jinjie Mai and Piotr Piękos and Aditya Ramesh and Imanol Schlag and Weimin Shi and Aleksandar Stanić and Wenyi Wang and Yuhui Wang and Mengmeng Xu and Deng-Ping Fan and Bernard Ghanem and Jürgen Schmidhuber},
      year={2023},
      eprint={2305.17066},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Voyager: An Open-Ended Embodied Agent with Large Language Models

tag: Voyager | Nvidia

paper link: here

github link: here

homepage link: here

citation:

@misc{wang2023voyager,
      title={Voyager: An Open-Ended Embodied Agent with Large Language Models}, 
      author={Guanzhi Wang and Yuqi Xie and Yunfan Jiang and Ajay Mandlekar and Chaowei Xiao and Yuke Zhu and Linxi Fan and Anima Anandkumar},
      year={2023},
      eprint={2305.16291},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

tag: ToolkenGPT | UCSD

paper link: here

github link: here

citation:

@article{hao2023toolkengpt,
  title={ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings},
  author={Hao, Shibo and Liu, Tianyang and Wang, Zhen and Hu, Zhiting},
  journal={arXiv preprint arXiv:2305.11554},
  year={2023}
}

Generative agents: Interactive simulacra of human behavior

tag: Generative Agents | Google DeepMind | Stanford University

paper link: here

github link: here

citation:

@article{park2023generative,
  title={Generative agents: Interactive simulacra of human behavior},
  author={Park, Joon Sung and O'Brien, Joseph C and Cai, Carrie J and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S},
  journal={arXiv preprint arXiv:2304.03442},
  year={2023}
}

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

tag: CAMEL | NIPS23 | KAUST

paper link: here

github link: here

citation:

@misc{li2023camelcommunicativeagentsmind,
      title={CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society}, 
      author={Guohao Li and Hasan Abed Al Kader Hammoud and Hani Itani and Dmitrii Khizbullin and Bernard Ghanem},
      year={2023},
      eprint={2303.17760},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2303.17760}, 
}

Toolformer: Language models can teach themselves to use tools

tag: Toolformer | Meta

paper link: here

citation:

@article{schick2023toolformer,
  title={Toolformer: Language models can teach themselves to use tools},
  author={Schick, Timo and Dwivedi-Yu, Jane and Dess{\`\i}, Roberto and Raileanu, Roberta and Lomeli, Maria and Zettlemoyer, Luke and Cancedda, Nicola and Scialom, Thomas},
  journal={arXiv preprint arXiv:2302.04761},
  year={2023}
}

LangChain: Building applications with LLMs through composability

tag: LangChain | LangSmith

github link: here

docs link: here

homepage link: here

tutorial link: here

citation:

@misc{langchain2022,
    author = "Chase, Harrison",
    month = "10",
    title = "LangChain",
    howpublished = "\url{https://github.com/langchain-ai/langchain}",
    year = "2022"
}

Benchmark

SmartPlay: A Benchmark for LLMs as Intelligent Agents

tag: SmartPlay | ICLR24 | Microsoft | CMU

paper link: here

github link: here

citation:

@article{wu2023smartplay,
  title={SmartPlay: A Benchmark for LLMs as Intelligent Agents},
  author={Wu, Yue and Tang, Xuan and Mitchell, Tom M and Li, Yuanzhi},
  journal={arXiv preprint arXiv:2310.01557},
  year={2023}
}

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

tag: RoleLLM | Beihang University

paper link: here

github link: here

citation:

@article{wang2023rolellm,
  title={RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models},
  author={Wang, Zekun Moore and Peng, Zhongyuan and Que, Haoran and Liu, Jiaheng and Zhou, Wangchunshu and Wu, Yuhan and Guo, Hongcheng and Gan, Ruitong and Ni, Zehao and Zhang, Man and others},
  journal={arXiv preprint arXiv:2310.00746},
  year={2023}
}

Agentbench: Evaluating llms as agents

tag: Agentbench | Tsinghua University

paper link: here

github link: here

homepage link: here

citation:

@article{liu2023agentbench,
  title={Agentbench: Evaluating llms as agents},
  author={Liu, Xiao and Yu, Hao and Zhang, Hanchen and Xu, Yifan and Lei, Xuanyu and Lai, Hanyu and Gu, Yu and Ding, Hangliang and Men, Kaiwen and Yang, Kejuan and others},
  journal={arXiv preprint arXiv:2308.03688},
  year={2023}
}

Survey

The rise and potential of large language model based agents: A survey

tag: LLM Agents Survey | Fudan University

paper link: here

github link: here

citation:

@article{xi2023rise,
  title={The rise and potential of large language model based agents: A survey},
  author={Xi, Zhiheng and Chen, Wenxiang and Guo, Xin and He, Wei and Ding, Yiwen and Hong, Boyang and Zhang, Ming and Wang, Junzhe and Jin, Senjie and Zhou, Enyu and others},
  journal={arXiv preprint arXiv:2309.07864},
  year={2023}
}