Nicola Cancedda

RESEARCH SCIENTIST AND MANAGER | LONDON, UNITED KINGDOM

Nicola is a research scientist and manager with Meta's Fundamental AI Research (FAIR) organisation. His current research focus is on better understanding how Large Language Models realize complex behaviors to make them safer and more efficient. Nicola is an alumnus of the University of Rome "La Sapienza", and has held applied and fundamental research and management positions at Meta, Xerox, and Microsoft, pushing the state of the art in tasks in Machine Learning, Machine Translation, and Natural Language Processing, and leading the transfer of research results to large-scale production environment.

Nicola's Publications

December 06, 2023

NLP

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings

Mattia Atzeni, Mike Plekhanov, Frederic Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda

December 06, 2023

June 15, 2023

NLP

Multilingual End to End Entity Linking

Mike Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frederic Dreyer, Nicola Cancedda

June 15, 2023