C. Natalino

Human-Grounded Evaluation of Large Language Models for Optical Network Automation

This work presents HuGLEN, a stepwise evaluation pipeline that uses an LLM-as-a-judge together with a small set of expert ratings to enable scalable and reproducible comparison of candidate LLMs, and to rank them using a quality efficiency score (QES).