Luca Dini

Profile: National PhD Programme in Artificial Intelligence – “AI & Society”, Department of Computer Science, University of Pisa

Qualification: Borsista di ricerca

Venue: Pisa

Room: 7

Telephone: +39 050 315 2863

E-mail: luca.dini@ilc.cnr.it

Laboratory: ItaliaNLP Lab

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2025 - Journal articles
View DOI resources1
Dini L., Moroni L., Brunato D., and Dell'Orletta F. (2025) “In the eyes of a language model: A comprehensive examination through eye-tracking data”, NEUROCOMPUTING, vol. 650.
2025 - Conference papers
2
Dini L., Brunato D., Dell'Orletta F., and Caselli T. (2025) “TEXT-CAKE: Challenging Language Models on Local Text Coherence”, Proceedings-International Conference on Computational Linguistics, COLING, 31st International Conference on Computational Linguistics, COLING 2025, published by Association for Computational Linguistics (ACL), pp. 4384-4398.
View DOI resources3
Dini L., Domenichelli L., Brunato D., and Dell'Orletta F. (2025) “From Human Reading to NLM Understanding: Evaluating the Role of Eye-Tracking Data in Encoder-Based Models”, Proceedings of the Annual Meeting of the Association for Computational Linguistics, 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025, published by Association for Computational Linguistics (ACL), vol. 1, pp. 17796-17813.
4
Domenichelli L., Dini L., Brunato D., and Dell'Orletta F. (2025) “The Role of Eye-Tracking Data in Encoder-Based Models: an In-depth Linguistic Analysis”, Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), 24-26 September 2025, Cagliari, Italy.
2023 - Conference papers
View web resourcesView DOI resources5
Brunato D., Dell'Orletta F., Dini I., and Ravelli A. A. (2023) “Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages”, Findings of the Association for Computational Linguistics: ACL 2023, ISBN 978-1-959429-62-3, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Stroudsburg, published by Association for Computational Linguistics (Stroudsburg, USA), pp. 10690-10700.
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