SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting
Large language model (LLM) agents are increasingly applied to network troubleshooting, but root-cause localization on public benchmarks remains well below practical deployment thresholds. We argue this is because existing agents do not encode the disciplined, layer-by-layer methodology that human network engineers use,...
Kuan-Hao Tseng, Niruth Bogahawatta, Yasod Ginige et al.
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