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TopoLLM:LLM-driven adaptive tool learning for real-time emergency network topology planning

Yizhuo Ma Rongzheng Wang Shuang Liang Guangchun Luo Ke Qin

数字通信与网络（英文）2026，Vol.12Issue(2)：273-282,10.

数字通信与网络（英文）2026，Vol.12Issue(2)：273-282,10.DOI:10.1016/j.dcan.2025.10.002

TopoLLM:LLM-driven adaptive tool learning for real-time emergency network topology planning

Yizhuo Ma ¹Rongzheng Wang ¹Shuang Liang ¹Guangchun Luo ¹Ke Qin¹

作者信息

1. Institute of Intelligent Computing,University of Electronic Science and Technology of China,Chengdu 611731,China
折叠

摘要

关键词

Large language models/Tool learning/Network planning/Scheme generation

Key words

Large language models/Tool learning/Network planning/Scheme generation

引用本文复制引用

Yizhuo Ma,Rongzheng Wang,Shuang Liang,Guangchun Luo,Ke Qin..TopoLLM:LLM-driven adaptive tool learning for real-time emergency network topology planning[J].数字通信与网络（英文）,2026,12(2):273-282,10.

基金项目

This research is partially supported by the National Natural Sci-ence Foundation of China(Grant NO.62176046)and Noncommuni-cable Chronic Diseases-National Science and Technology Major Project(2023ZD0501806). （Grant NO.62176046）

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