I am a Postdoctoral Researcher at AImageLab , University of Modena and Reggio Emilia, working on multimodal LLMs and retrieval-augmented generation.
My research focuses on multimodal architectures, retrieval techniques, and the evaluation of vision-and-language models, with particular interest in hallucination. I also work on training multimodal large language models, including LLaVA and its derivatives.
I completed my Ph.D. at the University of Modena and Reggio Emilia, advised by Prof. Rita Cucchiara , Prof. Lorenzo Baraldi , and Prof. Marcella Cornia . During my Ph.D., I spent six months as a research intern at Amazon in London.
AImageLab, University of Modena and Reggio Emilia
AImageLab, University of Modena and Reggio Emilia
6-month internship at Amazon London.
"Retrieval-augmented Transformer for Image Captioning”
AImageLab, University of Modena and Reggio Emilia
Premio alla Memoria Davide Rabotti
University of Modena and Reggio Emilia.
I was invited to speak at the 52nd Pattern Recognition and Computer Vision Colloquium at CTU in Prague. My talk, "Towards Retrieval-Augmented Multimodal Understanding", will take place on 1 October 2026. View the program
Our papers "Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers" and "Mind the Heads: Topological Representation Alignment for Multimodal LLMs" have been accepted to NeurIPS 2026!
Our paper "Recurrence Meets Transformers for Universal Multimodal Retrieval" has been accepted to TPAMI!
I completed my Ph.D. in Artificial Intelligence at the AImageLab , focusing on scalable multimodal foundation models, retrieval-augmented generation, and multimodal evaluation.
Proud to share that I was invited to speak at the Max Planck Institute for Informatics about my research on retrieval-augmented generation!
🎉 Happy to share that I will have a session on Retrieval-Augmentation in Multimodal Large Language models 🎉
🎉 Happy to share that our paper "ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering" has been accepted at CVPR 2026 in Denver! 🎉
Happy to share that we will host the 2026 edition of IRCDL, the Conference on Information and Research Science Connecting to Digital and Library Science. Visit the website
🎉 Happy to share that our paper "Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval" has been accepted at CVPR 2025 in Nashville! 🎉
Our project "VISTA – Versatile Intelligent Systems for Tailored and Adaptive Next-Generation Multimodal AI" was accepted for the EuroHPC Extreme Scale grant , with an allocation of almost 1M GPU hours. Read the news on the UNIMORE website
🎉 We are introducing LLaVA-MORE , a family of models that enhances LLaVA by integrating LLaMA 3.1 as the language model. Check out our Github repo ! 🎉
M.Sc. in Artificial Intelligence, Department of Engineering “Enzo Ferrari”, UNIMORE
Médecins Sans Frontières – MSF & Good AI Lab
PROMETEIA
3B Meteo
School
Participation to National and European Projects
Contributing to the European initiative for developing multimodal AI systems.
Participating in the Italian National Research Project on multimodal reasoning and vision-language alignment.
