English

Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow

Multiagent Systems 2024-10-16 v1

Abstract

We showcase an application that leverages multiple agents, powered by large language models and integrated tools, to collaboratively solve complex network operation tasks across various domains. The tasks include real-time topology retrieval, network optimization using physical models, and fiber switching facilitated by a robotic arm.

Keywords

Cite

@article{arxiv.2410.10831,
  title  = {Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow},
  author = {Xiaonan Xu and Haoshuo Chen and Jesse E. Simsarian and Roland Ryf and Nicolas K. Fontaine and Mikael Mazur and Lauren Dallachiesa and David T. Neilson},
  journal= {arXiv preprint arXiv:2410.10831},
  year   = {2024}
}
R2 v1 2026-06-28T19:21:09.557Z