Optimistic Policy Optimization via Multiple Importance Sampling. - Matteo Papini; Alberto Maria Metelli; Lorenzo Lupo; Marcello Restelli (ICML, 2019)

Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (CoRR, 2021)

Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (ACL (1), 2022)

Focused Concatenation for Context-Aware Neural Machine Translation. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (WMT, 2022)

Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (CoRR, 2023)

How to Use Large Language Models for Text Coding: The Case of Fatherhood Roles in Public Policy Documents. - Lorenzo Lupo; Oscar Magnusson; Dirk Hovy; Elin Naurin; Lena Wängnerud (CoRR, 2023)

Challenges and Remedies for Context-Aware Neural Machine Translation. (Défis et remèdes pour la traduction automatique neuronale en contexte). - Lorenzo Lupo (2023)

DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods. - Lorenzo Lupo; Paul Bose; Mahyar Habibi; Dirk Hovy; Carlo Schwarz (LREC/COLING, 2024)