PALLUCCHINI FILIPPO

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]. 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

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]. Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Pallucchini, F. (2025). RE-FIN: Retrieval-based Enrichment for Financial data. In Proceedings - International Conference on Computational Linguistics, COLING (pp.751-759). Association for Computational Linguistics (ACL). 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