arxiv
PublishedJuly 21, 2026 at 4:00 AM
Human Grounded Evaluation of Large Language Models for Optical Network Automation
Publisher summary· verbatim
arXiv:2607.18068v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly adopted for network automation, yet their output quality and inference cost can vary substantially across LLM families. We present HuGLEN, a stepwise evaluation pipeline that uses an LLM-as-a-judge togeth
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Originally published on arxiv ↗