PALLUCCHINI FILIPPO

Pallucchini, F (2026). Three shades of alignment: from distributional semantics to trustworthy and interpretable large language models. (Tesi di dottorato, , 2026). Detail

Nobani, N., Officioso, G., Pallucchini, F., Sperlì, G., Mercorio, F. (2026). Synthetic data generation: A tertiary study. INFORMATION PROCESSING & MANAGEMENT, 63(6 (September 2026)) [10.1016/j.ipm.2026.104715]. Detail

Pallucchini, F., Malandri, L., Mercorio, F., Mezzanzanica, M. (2026). Lost in Alignment: A Survey on Cross-Lingual Alignment Methods for Contextualized Representation. ACM COMPUTING SURVEYS, 58(5 (April 2026)), 1-34 [10.1145/3764112]. Detail

Malandri, L., Mercorio, F., Mezzanzanica, M., Pallucchini, F. (2025). SeNSe: embedding alignment via semantic anchors selection. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 20(1), 167-181 [10.1007/s41060-024-00522-z]. 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