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 [Scientific article]
Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Andrea Pagliarani, Andrea Roli, Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification, in: Knowledge Discovery, Knowledge Engineering and Knowledge Management. 9th International Joint Conference, IC3K 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Revised Selected Papers, Berlin, Springer Veriag, in corso di stampa, 976, pp. 26 - 42 (atti di: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Funchal, Portugal, 1-3 November 2017) [Contribution to conference proceedings]
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 [Scientific article]Open Access
Cocchieri, Alessio; Frisoni, Giacomo; Martinez Galindo, Marcos; Moro, Gianluca; Tagliavini, Giuseppe; Candoli, Francesco, OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description, in: Findings of the Association for Computational Linguistics: NAACL 2025, 2025, pp. 1 - 20 (atti di: 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Albuquerque, New Mexico, April 29-May 4, 2025) [Contribution to conference proceedings]Open Access
Paolo Italiani, Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro, Claudio Sartori, Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances, «NEUROCOMPUTING», 2024, 572, Article number: 127132 , pp. 1 - 15 [Scientific article]Open Access
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 [Scientific article]
Goyo, Manuel; Frisoni, Giacomo; Moro, Gianluca; Sartori, Claudio, Refining Triplet Sampling for Improved Self-Supervised Representation Learning, in: Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024, 2024, pp. 227 - 246 (atti di: SEBD 2024: 32nd Symposium on Advanced Database Systems, Villasimius, Sardinia, Italy, June 23-26, 2024) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]Open Access
Frisoni, Giacomo; Cocchieri, Alessio; Presepi, Alex; Moro, Gianluca; Meng, Zaiqiao, To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering, in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 9878 - 9919 (atti di: Association for Computational Linguistics, Bangkok, Thailand, August 11-16, 2024) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
Borghesi, Andrea; Ciancarini, Paolo; Di Iorio, Angelo; Moro, Gianluca, Unveiling Computer Chess Evolution: Can Machine Learning Detect Historical Trends?, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2024, 15192 LNCS, pp. 35 - 49 (atti di: 23rd IFIP TC 14 International Conference on Entertainment Computing, ICEC 2024, Manaus, Amazon, Brazil, September 30-October 3, 2024) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
Moro G.; Ragazzi L., Align-then-abstract representation learning for low-resource summarization, «NEUROCOMPUTING», 2023, 548, Article number: 126356 , pp. 1 - 9 [Scientific article]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) [Contribution to conference proceedings]
Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro, Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards, in: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023, 37, pp. 12781 - 12789 (atti di: AAAI, Washington, DC, USA, February) [Contribution to conference proceedings]Open Access
