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

Jun Wang; Kailai Zhang; Keyu Wu; Manlin Mei; Qianjin Yu; Ruiting Liu; Yelun Bao

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

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arxiv 2507.18190 v2 pith:CXYTYBAX submitted 2025-07-24 cs.CL

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 , Kailai Zhang , Yelun Bao This is my paper

classification cs.CL

keywords analysiscausenetworksroottelecommunicationagenticalarm-basedartificial

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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.

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

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