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

Fuente: arXiv
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Autori principali: Wu, Keyu, Yu, Qianjin, Mei, Manlin, Liu, Ruiting, Wang, Jun, Zhang, Kailai, Bao, Yelun
Natura: Preprint
Pubblicazione: 2025
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author Wu, Keyu
Yu, Qianjin
Mei, Manlin
Liu, Ruiting
Wang, Jun
Zhang, Kailai
Bao, Yelun
author_facet Wu, Keyu
Yu, Qianjin
Mei, Manlin
Liu, Ruiting
Wang, Jun
Zhang, Kailai
Bao, Yelun
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2507_18190
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
Wu, Keyu
Yu, Qianjin
Mei, Manlin
Liu, Ruiting
Wang, Jun
Zhang, Kailai
Bao, Yelun
Computation and Language
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.
title TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
topic Computation and Language
url https://arxiv.org/abs/2507.18190