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As Large Language Models (LLMs) grow increasingly powerful, multi-agent systems are becoming more prevalent in modern AI applications.
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Gerhard Weiss · 1999
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Deep reinforcement learning from human preferences, June 2017
Paul Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
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Training language models to follow instructions with human feedback, March 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe · 2022
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Ignore Previous Prompt: Attack Techniques For Language Models, November 2022
Fábio Perez and Ian Ribeiro · 2022
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crewAIInc/crewAI, September 2024
CrewAI · 2023
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Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz · 2023
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Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks, February 2023
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, and Tatsunori Hashimoto · 2023
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AgentSims: An Open-Source Sandbox for Large Language Model Evaluation, August 2023
Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, and Qin Chen · 2023
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MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts, October 2023
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao · 2023
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Generative Agents: Interactive Simulacra of Human Behavior, August 2023
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein · 2023
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Instruction Tuning with GPT-4, April 2023
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao · 2023
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Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM Apps Fast
Oguzhan Topsakal and T. Cetin Akinci · 2023
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Jailbroken: How Does LLM Safety Training Fail?, July 2023
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
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geekan/MetaGPT, September 2024
Alexander Wu · 2023
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation, October 2023
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W. White, Doug Burger, and Chi Wang · 2023
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MemoryBank: Enhancing Large Language Models with Long-Term Memory, May 2023
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang · 2023
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SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents, October 2023
On the Resilience of Multi-Agent Systems with Malicious Agents, August 2024
Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, and Michael R. Lyu · 2024
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Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities, July 2024
Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, and Gongshen Liu · 2024
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Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation, September 2024
To Eun Kim and Fernando Diaz · 2024
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A Unified Debugging Approach via LLM-Based Multi-Agent Synergy, April 2024
Cheryl Lee, Chunqiu Steven Xia, Jen-tse Huang, Zhouruixin Zhu, Lingming Zhang, and Michael R. Lyu · 2024
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Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, and Maarten Sap · 2023
Cited alongside, same era.
Universal and Transferable Adversarial Attacks on Aligned Language Models, July 2023
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, and Matt Fredrikson · 2023
Cited alongside, same era.
StruQ: Defending Against Prompt Injection with Structured Queries, September 2024
Sizhe Chen, Julien Piet, Chawin Sitawarin, and David Wagner · 2024
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Stav Cohen, Ron Bitton, and Ben Nassi · 2024
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Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, and Min Lin · 2024
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Large Language Model based Multi-Agents: A Survey of Progress and Challenges, January 2024
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, and Xiangliang Zhang · 2024
Cited alongside, same era.
Defending Against Indirect Prompt Injection Attacks With Spotlighting, March 2024
Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, and Emre Kiciman · 2024
Cited alongside, same era.
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang · 2024
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Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, and Shuming Shi · 2024
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Tree of Attacks: Jailbreaking Black-Box LLMs Automatically, February 2024
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, and Amin Karbasi · 2024
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ChatDev: Communicative Agents for Software Development, June 2024
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Tool Learning with Large Language Models: A Survey, May 2024
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, and Ji-Rong Wen · 2024
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Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications
Reshabh K Sharma, Vinayak Gupta, and Dan Grossman · 2024
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Evil Geniuses: Delving into the Safety of LLM-based Agents, February 2024
Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, and Hang Su · 2024
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Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, and Xuanjing Huang · 2024
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