Federico Belotti

Federico Belotti

NLP Researcher

Hi, I’m Federico Belotti

I build trustworthy AI systems around Large Language Models and structured data. I’m currently a Research Fellow at the University of Milano-Bicocca and will start a PhD at the University of Bergamo in November 2025.

My recent work spans training and benchmarking LLMs for tabular tasks, improving training of Sparse AutoEncoders (SAEs), and uncertainty-aware LLMs.

Previously, I was an AI Engineer at Orobix, where I worked mainly on Computer Vision tasks (Classification, Segmentation, and Object Detection) and Reinforcement Learning. There, I was also the co-inventor of SheepRL, a distributed RL framework.

News

Nov 2025Starting my PhD at the University of Bergamo focusing on uncertainty-aware LLMs.
Sep 2025Our paper titled "Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data" was accepted at Ontology Matching (OM) 2025, co-located with ISWC 2025.
Aug 2025Our paper titled "Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups" was accepted at EMNLP 2025.
Jun 2025Our paper titled "MammoTab 25: A Large-Scale Dataset for Semantic Table Interpretation - Training, Testing, and Detecting Weaknesses" was accepted at ISWC 2025.
Aug 2024Our paper titled "Accelerating Sparse Autoencoder Training via Layer-Wise Transfer Learning in Large Language Models" was accepted at BlackBoxNLP 2024.