POTERTÌ DANIELE

Mercorio, F., Mezzanzanica, M., Potertì, D., Serino, A., Seveso, A. (In corso di stampa). A Benchmark to Evaluate LLMs’ Proficiency on Italian Student Competencies. Intervento presentato a: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal. Dettaglio

Seveso, A., Potertì, D., Federici, E., Mezzanzanica, M., Mercorio, F. (2025). ITALIC: An Italian Culture-Aware Natural Language Benchmark. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers), April 29 - May 4, 2025 (pp.1469-1478). Dettaglio

Mercorio, F., Potertì, D., Serino, A., Seveso, A. (2024). BEEP - BEst DrivEr's License Performer: A CALAMITA Challenge. In Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024). CEUR-WS. Dettaglio

Castelnovo, A., Depalmas, R., Mercorio, F., Mombelli, N., Potertì, D., Serino, A., et al. (2024). Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation. In Explainable Artificial Intelligence
Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part I (pp.211-229). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-63787-2_11]. Dettaglio

Castelnovo, A., Crupi, R., Mercorio, F., Mezzanzanica, M., Potertì, D., Regoli, D. (2023). Marrying LLMs with Domain Expert Validation for Causal Graph Generation. In Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023)
co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023) (pp.1-7). CEUR-WS. Dettaglio