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

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., 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. Detail