SEVESO ANDREA

Mercorio, F., Mezzanzanica, M., Potertì, D., Serino, A., Seveso, A. (2026). 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]. Detail

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. Detail

Colombo, S., D'Amico, S., Malandri, L., Mercorio, F., Seveso, A. (2025). JobSet: Synthetic Job Advertisements Dataset for Labour Market Intelligence. In SAC '25: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (pp.928-935). Association for Computing Machinery [10.1145/3672608.3707718]. 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

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