English

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

Computation and Language 2025-07-29 v2

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.

Cite

@article{arxiv.2507.18190,
  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},
  journal= {arXiv preprint arXiv:2507.18190},
  year   = {2025}
}

Comments

10 pages

R2 v1 2026-07-01T04:16:36.921Z