Gabriele Prato
Scholar

Gabriele Prato

Google Scholar ID: 9D_y8ssAAAAJ
Mila, Université de Montréal
Deep LearningNatural Language Processing
Citations & Impact
All-time
Citations
138
 
H-index
4
 
i10-index
2
 
Publications
9
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Do Large Language Models Know How Much They Know?, EMNLP 2024
  • EpiK-Eval: Evaluation for Language Models as Epistemic Models, EMNLP 2023
  • PatchBlender: A Motion Prior for Video Transformers, NeurIPS 2022 Workshop
  • Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers, ICML 2021 Workshop
  • Fully Quantized Transformer for Machine Translation, Findings of EMNLP 2020
  • Towards Lossless Encoding of Sentences, ACL 2019
  • Blog Post: EpiK-Eval and the Role of Knowledge Consolidation in Language Models, December 22, 2023
Background
  • Final-year PhD candidate at Mila, University of Montreal, expecting to graduate in spring or summer 2025
  • Research focuses on fundamental aspects of Large Language Models (LLMs)
  • Explores how data segmentation affects critical functions such as parametric knowledge retrieval and latent multi-hop reasoning
  • Aims to address inherent limitations of LLMs by developing methods for knowledge consolidation during training
  • Committed to open-ended research and academic exploration to produce impactful, publishable work
  • Seeking research-focused industry roles aligned with these values