Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation. - Paolo Basso; Arturo Benedetti; Nicola Cecere; Alessandro Maranelli; Salvatore Marragony; Samuele Peri; Andrea Riboni; Alessandro Verosimile; Davide Zanutto; Maurizio Ferrari Dacrema (RecSys Challenge, 2023)

Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems. - Nicola Cecere; Andrea Pisani; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2024)

Pre-Trained LLM Embeddings of Product Reviews for Recommendation. - Andrea Pisani; Nicola Cecere; Maurizio Ferrari Dacrema; Paolo Cremonesi (IIR, 2024)

Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods. - Nicola Cecere; Andrea Bacciu; Ignacio Fernández-Tobías; Amin Mantrach (CoRR, 2025)