SEVESO ANDREA

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., Mezzanzanica, M., Potertì, D., Serino, A., Seveso, A. (2025). A Benchmark to Evaluate LLMs’ Proficiency on Italian Student Competencies. In Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VIII (pp.292-309). Springer Berlin, Heidelberg [10.1007/978-3-662-72243-5_17]. Dettaglio

Potertì, D., Seveso, A., Mercorio, F. (2025). Can Role Vectors Affect LLM Behaviour?. In Findings of the Association for Computational Linguistics: EMNLP 2025 (pp.17735-17747). Association for Computational Linguistics. Dettaglio

Mercorio, F., Pallucchini, F., Potertì, D., Serino, A., Seveso, A. (2025). SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp.576-583). Association for Computational Linguistics. Dettaglio