Large Language Models are biased to overestimate profoundness. - Eugenio Herrera-Berg; Tomás Vergara Browne; Pablo León-Villagrá; Marc-Lluís Vives; Cristian Buc Calderon (EMNLP, 2023)

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP. - Marius Mosbach; Vagrant Gautam; Tomás Vergara Browne; Dietrich Klakow; Mor Geva (EMNLP, 2024)

Eigenpruning. - Tomás Vergara Browne; Álvaro Soto; Akiko Aizawa (CoRR, 2024)

Tracr-Injection: Distilling Algorithms into Pre-trained Language Models. - Tomás Vergara Browne; Alvaro Soto (ACL (Findings), 2025)