Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems

Author:

Nascimento Nathalia1,Alencar Paulo1,Cowan Donald1

Affiliation:

1. David R. Cheriton School of Computer Science, University of Waterloo (UW),Waterloo,Canada

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC)

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap;ACM Transactions on Autonomous and Adaptive Systems;2024-08-20

2. Forensic Analysis of Artifacts from Microsoft's Multi-Agent LLM Platform AutoGen;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

3. Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents;2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C);2024-06-04

4. A survey on large language model based autonomous agents;Frontiers of Computer Science;2024-03-22

5. Building Customized Chatbots for Document Summarization and Question Answering using Large Language Models using a Framework with OpenAI, Lang chain, and Streamlit;Journal of Information Technology and Digital World;2024-03

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