| Optimistic policy optimization via multiple importance sampling M Papini, AM Metelli, L Lupo, M Restelli International Conference on Machine Learning, 4989-4999, 2019 | 40 | 2019 |
| Divide and rule: Effective pre-training for context-aware multi-encoder translation models L Lupo, M Dinarelli, L Besacier arXiv preprint arXiv:2103.17151, 2021 | 14* | 2021 |
| Focused concatenation for context-aware neural machine translation L Lupo, M Dinarelli, L Besacier arXiv preprint arXiv:2210.13388, 2022 | 10 | 2022 |
| Encoding sentence position in context-aware neural machine translation with concatenation L Lupo, M Dinarelli, L Besacier arXiv preprint arXiv:2302.06459, 2023 | 5 | 2023 |
| DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods L Lupo, P Bose, M Habibi, D Hovy, C Schwarz arXiv preprint arXiv:2403.05700, 2024 | | 2024 |
| How to Use Large Language Models for Text Coding: The Case of Fatherhood Roles in Public Policy Documents L Lupo, O Magnusson, D Hovy, E Naurin, L Wängnerud arXiv preprint arXiv:2311.11844, 2023 | | 2023 |
| Challenges and Remedies for Context-Aware Neural Machine Translation L Lupo Université Grenoble-Alpes, 2023 | | 2023 |
| Exploration in policy search via multiple importance sampling L LUPO Politecnico di Milano, 2017 | | 2017 |
Marcello RestelliAssociate Professor, Politecnico di MilanoEmail verificata su polimi.it
