Italiani, Paolo; Moro, Gianluca; Ragazzi, Luca, Enhancing Legal Question Answering with Data Generation and Knowledge Distillation from Large Language Models, «ARTIFICIAL INTELLIGENCE AND LAW», in corso di stampa, Applications and Evaluation of Large Language Models in the Legal Domain, pp. 1 - 29 [articolo]
Ragazzi, Luca; Moro, Gianluca; Valgimigli, Lorenzo; Fiorani, Riccardo, Cross-Document Distillation via Graph-Based Summarization of Extracted Essential Knowledge, «IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING», 2025, 33, pp. 518 - 527 [articolo]
Ragazzi, Luca; Moro, Gianluca; Guidi, Stefano; Frisoni, Giacomo, LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts, «ARTIFICIAL INTELLIGENCE AND LAW», 2024, 33, pp. 1 - 37 [articolo]
Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Fabian Vincenzi, Davide Freddi, Revelio: Interpretable Long-Form Question Answering, in: The Second Tiny Papers Track at ICLR 2024, 2024, pp. 1 - 9 (atti di: Tiny Papers @ ICLR 2024, Vienna, Austria, 11/05/2024) [Contributo in Atti di convegno]Open Access
Bussotti, Jean-Flavien; Ragazzi, Luca; Frisoni, Giacomo; Moro, Gianluca; Papotti, Paolo, Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, pp. 12105 - 12122 (atti di: The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, November 12–16, 2024) [Contributo in Atti di convegno]
Ragazzi, Luca; Italiani, Paolo; Moro, Gianluca; Panni, Mattia, What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization, in: Findings of the Association for Computational Linguistics: ACL 2024, 2024, pp. 9427 - 9440 (atti di: The 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, August 11–16, 2024) [Contributo in Atti di convegno]
Moro G.; Ragazzi L., Align-then-abstract representation learning for low-resource summarization, «NEUROCOMPUTING», 2023, 548, Article number: 126356, pp. 1 - 9 [articolo]Open Access
Moro, Gianluca; Ragazzi, Luca; Valgimigli, Lorenzo, Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy, in: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023, pp. 14417 - 14425 (atti di: AAAI, Washington D.C., February) [Contributo in Atti di convegno]
Moro G.; Ragazzi L.; Valgimigli L.; Frisoni G.; Sartori C.; Marfia G., Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes, «SENSORS», 2023, 23, Article number: 3542, pp. 1 - 16 [articolo]Open Access
Moro G.; Ragazzi L.; Valgimigli L., Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios, in: ECAI 2023, «FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS», 2023, 372, pp. 1747 - 1754 (atti di: 26th European Conference on Artificial Intelligence, Cracovia, Polonia, 30/09/2023 - 04/10/2023) [Contributo in Atti di convegno]Open Access
Moro G.; Piscaglia N.; Ragazzi L.; Italiani P., Multi-language transfer learning for low-resource legal case summarization, «ARTIFICIAL INTELLIGENCE AND LAW», 2023, 31, pp. 1 - 29 [articolo]Open Access
Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Lorenzo Molfetta, Retrieve-and-Rank End-to-End Summarization of Biomedical Studies, in: Similarity Search and Applications. SISAP 2023, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14289, pp. 64 - 78 (atti di: International Conference on Similarity Search and Applications, Coruña, Spain, 09/11/2023 - 11/11/2023) [Contributo in Atti di convegno]Open Access
Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Davide Freddi, Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Stroudsburg PA 18360, The Association for Computational Linguistics, 2022, pp. 180 - 189 (atti di: the 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22/05/2022-27/05/2022) [Contributo in Atti di convegno]Open Access
Moro, Gianluca; Ragazzi, Luca, Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes, in: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, February 22-March 1, AAAI Press, 2022, pp. 11085 - 11093 (atti di: Thirty-Sixth AAAI Conference on Artificial Intelligence, Virtual event, February 22-March 1) [Contributo in Atti di convegno]
