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

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

来源：

Arxiv

英文摘要

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.

作者：Keyu Wu、Qianjin Yu、Manlin Mei、Ruiting Liu、Jun Wang、Kailai Zhang、Yelun Bao

作者单位：

学科分类：通信无线通信计算技术、计算机技术

推荐引用：Keyu Wu,Qianjin Yu,Manlin Mei,Ruiting Liu,Jun Wang,Kailai Zhang,Yelun Bao.TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks[EB/OL].(2025-07-28)[2025-08-10].https://arxiv.org/abs/2507.18190.点此复制

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

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

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