2 papers
cs.NI2026
SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting
Kuan-Hao Tseng, Niruth Bogahawatta, Yasod Ginige +3
Large language model (LLM) agents are increasingly applied to network troubleshooting, but root-cause localization on public benchmarks remains well below practical deployment thre…
cs.LG2026
Generalizable IoT Traffic Representations for Cross-Network Device Identification
Arunan Sivanathan, David Warren, Deepak Mishra +8
Machine learning models have demonstrated strong performance in classifying network traffic and identifying Internet-of-Things (IoT) devices, enabling operators to discover and man…