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。”- Anthology ID:
- 2024.ccl-2.8
- Volume:
- Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)
- Month:
- July
- Year:
- 2024
- Address:
- Taiyuan, China
- Editor:
- Zhao Xin
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 141–150
- Language:
- Chinese
- URL:
- https://preview.aclanthology.org/acl-awards/2024.ccl-2.8/
- DOI:
- Cite (ACL):
- Xu Chen. 2024. 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). In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum), pages 141–150, Taiyuan, China. Chinese Information Processing Society of China.
- Cite (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) (Chen, CCL 2024)
- PDF:
- https://preview.aclanthology.org/acl-awards/2024.ccl-2.8.pdf