Towards a More Comprehensive Evaluation for Italian LLMs. - Luca Moroni; Simone Conia; Federico Martelli; Roberto Navigli (CLiC-it, 2024)

Minerva LLMs: The First Family of Large Language Models Trained from Scratch on Italian Data. - Riccardo Orlando; Luca Moroni; Pere-Lluís Huguet Cabot; Simone Conia; Edoardo Barba; Sergio Orlandini; Giuseppe Fiameni; Roberto Navigli (CLiC-it, 2024)

On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions. - Lorenzo Simone; Luca Miglior; Vincenzo Gervasi; Luca Moroni; Emanuele Vignali; Emanuele Gasparotti; Simona Celi (CoRR, 2024)

Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering. - Francesco Maria Molfese; Luca Moroni; Luca Gioffrè; Alessandro Scirè; Simone Conia; Roberto Navigli (ACL (Findings), 2025)

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation. - Luca Moroni; Giovanni Puccetti 002; Pere-Lluís Huguet Cabot; Andrei Stefan Bejgu; Alessio Miaschi; Edoardo Barba; Felice Dell'Orletta; Andrea Esuli; Roberto Navigli (NAACL (Findings), 2025)

Deep learning framework for cardiorespiratory disease detection using smartphone IMU sensors. - Lorenzo Simone; Luca Miglior; Vincenzo Gervasi; Luca Moroni; Emanuele Vignali; Emanuele Gasparotti; Simona Celi (Comput. Biol. Medicine, 2025)

In the eyes of a language model: A comprehensive examination through eye-tracking data. - Luca Dini; Luca Moroni; Dominique Brunato; Felice Dell'Orletta (Neurocomputing, 2025)