Matteo Nulli

AI Student @ University of Amsterdam, Applied Research Intern @ eBay

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Science Park, 1098 XH

Amsterdam, The Netherlands

📌 Hi, this is Matteo, an ELLIS Honours MSc student in Artificial Intelligence at the University of Amsterdam, supervised by Yuki Asano, Ivona Najdenkoska and Michael Dorkenwald. I am also Applied Research Intern in Multmodality at eBay, working with Vladimir Orshulevich and Hadi Hashemi. Previously, I graduated from Bocconi University with a BSc in Mathematical and Computing Sciences for AI and was an exchange student in Applied Mathematics and Computer Science at the University of Sydney with a full scholarship.

💭 My research interest is in Multimodal Learning. Particulary, I am looking at visual-representation learning and how to leverage it for extensive image-understanding in Multimodal Large Language Models.

📚 Currently working on my master thesis on compositional understanding and visual grounding in Multimodal models.

Always open to hear about possible research collaborations, feel free to reach out.

news

Nov 01, 2024 Going to NeurIPS! Our paper Dynamic Vocabulary Pruning in Early-Exit LLMs was just accepted to NeurIPS Efficient Natural Language and Speech Processing (ENLSP-IV) Workshop 🚀
Jul 15, 2024 Today, I started working at eBay, joining the NLP Team in the Amsterdam office. The internship will focus on multimodal research and development for data, architecture and pre-training. Excited to start!
Jul 03, 2024 In-Context Learning Improves Compositional Understanding of Vision-Language Models was just published in ICML Workshop on Foundation Models in the Wild 🙌
Jun 01, 2024 My first paper ‘Explaining RL Decisions with Trajectories’: A Reproducibility Study was just published in Transactions on Machine Learning Research 🎊
Sep 01, 2023 I joined the University of Amsterdam to pursue the Master in Aritifcial Intelligence
Jul 25, 2023 I graduated from Bocconi University and was among the first 9 graduates in the history of the course Mathematical and Computing Sciences for AI! 🎓
Feb 10, 2023 Just landed in Australia to join the University of Sydney for a full semester, I will be taking Deep Learning, Stochastic Processes and Big Data and Data Diversity courses as well as surfing 🏄

selected publications

  1. Dynamic Vocabulary Pruning in Early-Exit LLMs
    Jort Vincenti*, Karim Abdel Sadek*, Joan Velja*, Matteo Nulli*, and Metod Jazbec
    NeurIPS Efficient Natural Language and Speech Processing, 2024
  2. In-Context Learning Improves Compositional Understanding of Vision-Language Models
    Matteo Nulli, Anesa Ibrahimi, Avik Pal, Hoshe Lee, and Ivona Najdenkoska
    In ICML 2024 Workshop on Foundation Models in the Wild , 2024
  3. ’Explaining RL Decisions with Trajectories’: A Reproducibility Study
    Karim Abdel Sadek*, Matteo Nulli*, Joan Velja*, and Jort Vincenti*
    Transactions on Machine Learning Research, 2024
    Reproducibility Certification