Javier Ferrando

Gender Bias in Multilingual Neural Machine Translation: The Architecture\n Matters

2020 · arXiv (Cornell University)

Multilingual Neural Machine Translation architectures mainly differ in the\namount of sharing modules and parameters among languages. In this paper, and\nfrom an algorithmic perspective, we explore if the chosen architecture, when\ntrained with the same data, influences …

A Primer on the Inner Workings of Transformer-based Language Models

2024 · arXiv (Cornell University)

The rapid progress of research aimed at interpreting the inner workings of advanced language models has highlighted a need for contextualizing the insights gained from years of work in this area. This primer provides a …