Andrea Bacciu

I am Andrea Bacciu, a PhD student specializing in Natural Language Processing at Sapienza University of Rome. My research, under the supervision of Professor Fabrizio Silvestri and Professor Nicola Tonellotto, focuses on applying Large Language Models to Information Retrieval. I am honored to be a research scholar, having won a position in the National PhD program in Artificial Intelligence.
I earned my master’s degree in Computer Science from Sapienza University of Rome, graduating with honors. My master's thesis, which explored Cross-lingual Semantic Role Labeling, received the Outstanding Long Paper award at the NAACL 2021 conference.
Professionally, I've had the invaluable opportunity to intern at Amazon Alexa in Cambridge, UK, as part of the Natural Language Understanding team. This experience has been instrumental in shaping my career, and I am excited to have recently been offered a position as an Applied Scientist II in the Search team at Amazon.
My interests primarily lie in computer science, encompassing areas such as Deep Learning, Natural Language Processing, and the design of large-scale systems. After completing my PhD, my aim is to pursue a career that integrates these passions. Additionally, after a day spent resolving coding issues, I enjoy practicing Calisthenics, a discipline I have been dedicated to for several years.
Andrea Bacciu.jpeg

Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Bacciu, Andrea; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
Renormalized Graph Neural Networks
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
Fauno: The Italian Large Language Model that will leave you senza parole!
Bacciu, Andrea; Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Silvestri, Fabrizio;

Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
) instead.