Cognitive-inspired domain adaptation of sentiment lexicons. - Frank Z. Xing; Filippo Pallucchini; Erik Cambria (Inf. Process. Manag., 2019)

Anchors Selection for Cross-lingual Embedding Alignment through Time. - Filippo Pallucchini (IJCAI, 2022)

Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. - Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (DSAA, 2024)

Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. - Mirko Cesarini; Lorenzo Malandri; Filippo Pallucchini; Andrea Seveso; Frank Xing (Cogn. Comput., 2024)

RE-FIN: Retrieval-based Enrichment for Financial data. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (COLING (Industry), 2025)

Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis. - Filippo Pallucchini; Xulang Zhang; Rui Mao 010; Erik Cambria (SAC, 2025)

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. - Samir Abdaljalil; Filippo Pallucchini; Andrea Seveso; Hasan Kurban; Fabio Mercorio; Erchin Serpedin (CoRR, 2025)

SeNSe: embedding alignment via semantic anchors selection. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (Int. J. Data Sci. Anal., 2025)