SEVESO ANDREA

Nissim, M., Croce, D., Patti, V., Basile, P., Attanasio, G., Musacchio, E., et al. (2026). Challenging the Abilities of Large Language Models in Italian: a Community Initiative. IJCOL, 12(1), 31-109 [10.17454/ijcol121.02]. Detail

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 [10.18653/v1/2025.findings-emnlp.963]. Detail

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 [10.18653/v1/2025.emnlp-industry.39]. Detail

Abdaljalil, S., Pallucchini, F., Seveso, A., Kurban, H., Mercorio, F., Serpedin, E. (2025). SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. In EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 (pp.9335-9346). Association for Computational Linguistics (ACL) [10.18653/v1/2025.findings-emnlp.496]. Detail

Mercorio, F., Mezzanzanica, M., Potertì, D., Serino, A., Seveso, A. (2025). A Benchmark to Evaluate LLMs’ Proficiency on Italian Student Competencies. In B. Pfahringer, N. Japkowicz, P. Larrañaga, R.P. Ribeiro, I. Dutra, M. Pechenizkiy, et al. (a cura di), 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]. Detail