@inproceedings{xu-2024-ji,
title = "基于大语言模型的自主智能体概述(A Survey on Large Language Model based Autonomous Agents Xu {C}hen)",
author = "Xu, Chen",
editor = "Zhao, Xin",
booktitle = "Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)",
month = jul,
year = "2024",
address = "Taiyuan, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2024.ccl-2.8/",
pages = "141--150",
language = "zho",
abstract = "{\textquotedblleft}近年来,基于大语言模型的自主智能体受到了学术界和工业界的广泛关注,其关键在于利用大语言模型作为核心控制器,并设计相应的辅助模块增强智能体在动态环境中的演化和适应能力,从而提升智能体自主解决任务的能力。本文通过总结过去工作,抽象出智能体设计的通用范式,并讨论了大模型时代自主智能体能力提升的途径。我们还从个体拓展到系统,深入探讨了多自主智能体系统常见的交互机制和面临的重要问题。{\textquotedblright}"
}
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<abstract>“近年来,基于大语言模型的自主智能体受到了学术界和工业界的广泛关注,其关键在于利用大语言模型作为核心控制器,并设计相应的辅助模块增强智能体在动态环境中的演化和适应能力,从而提升智能体自主解决任务的能力。本文通过总结过去工作,抽象出智能体设计的通用范式,并讨论了大模型时代自主智能体能力提升的途径。我们还从个体拓展到系统,深入探讨了多自主智能体系统常见的交互机制和面临的重要问题。”</abstract>
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%0 Conference Proceedings
%T 基于大语言模型的自主智能体概述(A Survey on Large Language Model based Autonomous Agents Xu Chen)
%A Xu, Chen
%Y Zhao, Xin
%S Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)
%D 2024
%8 July
%I Chinese Information Processing Society of China
%C Taiyuan, China
%G zho
%F xu-2024-ji
%X “近年来,基于大语言模型的自主智能体受到了学术界和工业界的广泛关注,其关键在于利用大语言模型作为核心控制器,并设计相应的辅助模块增强智能体在动态环境中的演化和适应能力,从而提升智能体自主解决任务的能力。本文通过总结过去工作,抽象出智能体设计的通用范式,并讨论了大模型时代自主智能体能力提升的途径。我们还从个体拓展到系统,深入探讨了多自主智能体系统常见的交互机制和面临的重要问题。”
%U https://aclanthology.org/2024.ccl-2.8/
%P 141-150
Markdown (Informal)
[基于大语言模型的自主智能体概述(A Survey on Large Language Model based Autonomous Agents Xu Chen)](https://aclanthology.org/2024.ccl-2.8/) (Xu, CCL 2024)
ACL