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Conference Open access Jul 2026

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).

Kiarash Rezaei, Omran Ayoub, P. Monti et al. · 0 citations

ON THE DISCOURSE ETHICS OF LARGE LANGUAGE MODELS: BETWEEN COMMUNICATIVE AGENTS AND LINGUISTIC MACHINES

Large Language Model based chatbots engage human users in discursive practices as interlocutors capable of vast linguistic performances but do not qualify as proper communicative agents, since their behavior adapts to the input from human users but is not based on the self-reflective normative re-orientation of agency...

P. Monti · 0 citations

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