3 papers
cs.NI2026
FaulT-Bench: Towards Benchmarking Network Troubleshooting LLM Agents under Unreliable User Tickets
Kuan-Hao Tseng, Niruth Bogahawatta, Yasod Ginige +3
LLM-based agents are increasingly proposed for network fault diagnosis, but existing benchmarks evaluate them only on accurate tickets and always assume a fault is present, conditi…
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.CL2025
A Framework to Assess Multilingual Vulnerabilities of LLMs
Likai Tang, Niruth Bogahawatta, Yasod Ginige +4
Large Language Models (LLMs) are acquiring a wider range of capabilities, including understanding and responding in multiple languages. While they undergo safety training to preven…