Pablo Miralles
Hi, I’m Pablo! I’m a PhD student in Artificial Intelligence supervised by Alejandro Martín and Javier Huertas-Tato. Before this, I completed an MSc in Machine Learning and Big Data at the Technical University of Madrid, and a double BSc in Mathematics and Computer Science at the University of Murcia.
My research focuses on applying deep learning to natural language processing (NLP), with work spanning AI-generated text detection, authorship attribution, natural language inference (NLI), and efficient Transformer architectures. The overarching theme is the study of inductive biases in models, the capabilities adquired from pre-training, and how to apply or post-train these models for downstream tasks in a way that generalizes robustly especially when data are scarce or affected by spurious correlations.
Feel free to check out my publications, occasional posts, or reach out if you’re interested in collaborating!