A two-stage SFT+RL fine-tuning pipeline for reasoning LLMs achieves 95.86% root cause accuracy on a new synthetic 5G troubleshooting benchmark, TeleLogs.
TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
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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.
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Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
A two-stage SFT+RL fine-tuning pipeline for reasoning LLMs achieves 95.86% root cause accuracy on a new synthetic 5G troubleshooting benchmark, TeleLogs.