Scholar

Tomás Vergara Browne

Google Scholar ID: RknbgOkAAAAJ

Mila, McGill University

Machine Learning

Citations & Impact

All-time

Citations

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

5 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Publications:
1. Tracr-Injection: Distilling Algorithms into Pre-trained Language Models (ACL Findings 2025)
2. From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP (EMNLP 2024)
3. Eigenpruning (LatinX Workshop @ NAACL 2024)
4. Large Language Models are biased to overestimate profoundness (EMNLP 2023)
Talks:
- Interpretability and Analysis: An Overview and its Impact (Invited Talk @ AI Safety Initiative UC Chile)

Research Experience

1. Lecturer in ML for Computer Vision for the AI certificate of PUC (December 2023 onwards)
2. Teaching Assistant for Design and Analysis of Algorithms (Spring 2023)
3. Teaching Assistant for Linear Algebra (Fall 2020, Fall 2021)
4. Teaching Assistant for Introduction to Programming (Fall 2021)
5. Teaching Assistant for Discrete Mathematics (Spring 2020)

Education

PhD: Mila and McGill University, advisors Siva Reddy and Marius Mosbach; MSc: Pontifical Catholic University of Chile (PUC) in IALab, advisor Álvaro Soto.

Background

Research Interests: Understanding the principles that can give rise to intelligent behavior in machine learning models, and pushing the boundaries of their intelligence with limited resources. An ideal goal would be to train a cognitive core.

Miscellany

1. Starting a podcast titled 'Behind the Research of AI' with Benno Krojer, focusing on shedding light on the untold stories of research in AI.
2. Enjoys reading Math, CS, and Sci-fi books.
3. Really enjoys doing artistic gymnastics, although not great at it but aims to get better over time.

Co-authors

9 total