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]. Dettaglio

Mercorio, F., Mezzanzanica, M., Potertì, D., Serino, A., Seveso, A. (2025). 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 - From 15 to 19 September 2025, Porto, Portugal. Dettaglio

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]. 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 [10.18653/v1/2025.emnlp-industry.39]. 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 [10.18653/v1/2025.findings-emnlp.963]. Dettaglio