Biosketch: Filippo Pallucchini is a researcher at the University of Milan-Bicocca, specializing in computational linguistics and data-driven labour market analysis. His work focuses on advancing methods for cross-lingual and cross-temporal embedding alignment to enhance the interpretability and adaptability of language models. He has contributed to projects developing AI frameworks for skill detection in online job vacancies and analyzing skill gaps across the European labour market, using a combination of neural and symbolic approaches. His research leverages Retrieval-Augmented Generation (RAG) to bridge neural and symbolic methods, providing valuable insights into labour market trends.
Roles: Spoke 1, WP6, Task 6.5, Collaborator
Contacts: filippo.pallucchini@unimib.it
Website: https://www.unimib.it/filippo-pallucchini
Research interests