TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks

Keyu Wu, Qianjin Yu, Manlin Mei, Ruiting Liu, Jun Wang +2 more
7/24/2025
cs.CL

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Abstract

Root Cause Analysis (RCA) in telecommunication networks is a critical task, yet it presents a formidable challenge for Artificial Intelligence (AI) due to its complex, graph-based reasoning requirements and the scarcity of realistic benchmarks.

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Cite this paper

@article{wu2025tnautorca,
  title  = {TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks},
  author = {Keyu Wu and Qianjin Yu and Manlin Mei and Ruiting Liu and Jun Wang and Kailai Zhang and Yelun Bao},
  year   = {2025},
  eprint = {2507.18190},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.18190v2}
}

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