MALANDRI LORENZO

De Santo, A., Nobani, N., Malandri, L., Mercorio, F., Mezzanzanica, M. (2026). Using language models to extract and map emerging skills to the ESCO taxonomy. DISCOVER ARTIFICIAL INTELLIGENCE [10.1007/s44163-026-01609-1]. Dettaglio

Ermellino, A., Malandri, L., Mercorio, F., Serino, A. (2026). Safe-Unsafe Concept Separation Emerges from a Single Direction in Language Models Activation Space. In EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers) (pp.3019-3034). Association for Computational Linguistics (ACL) [10.18653/v1/2026.eacl-long.139]. Dettaglio

De Santo, A., Malandri, L., Mercorio, F., Mezzanzanica, M., Nobani, N. (2026). SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models. In EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers) (pp.877-885). Association for Computational Linguistics (ACL) [10.18653/v1/2026.eacl-industry.65]. Dettaglio

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

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