Publications

Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods

TrustNLP @ NAACL 2025 & Quantify Uncertainty and Hallucination in Foundation Models @ ICLR 2025
Nicola Cecere, Andrea Bacciu, Ignacio Fernández Tobías, Amin Mantrach

Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Traditional Recommender Systems

Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy · 2024
Nicola Cecere, Andrea Pisani, Maurizio Ferrari Dacrema, Paolo Cremonesi

Pre-Trained LLM Embeddings of Product Reviews for Recommendation

Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy · 2024
Andrea Pisani, Nicola Cecere, Maurizio Ferrari Dacrema, Paolo Cremonesi

Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation

ACM RecSys Challenge 2023
Paolo Basso, Arturo Benedetti, Nicola Cecere, Alessandro Maranelli, Salvatore Marragony, Samuele Peri, Andrea Riboni, Alessandro Verosimile, Davide Zanutto, Maurizio Ferrari Dacrema