4 papers
Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs
Eva Vanmassenhove
Multilingual Large Language Models considerably changed how technologies influence language. While previous technologies could mediate or assist humans, there is now a tendency to…
ConGA: Guidelines for Contextual Gender Annotation. A Framework for Annotating Gender in Machine Translation
Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti
Handling gender across languages remains a persistent challenge for Machine Translation (MT) and Large Language Models (LLMs), especially when translating from gender-neutral langu…
Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures
Chiara Manna, Hosein Mohebbi, Afra Alishahi +2
While Large Language Models achieve state-of-the-art results across a wide range of NLP tasks, they remain prone to systematic biases. Among these, gender bias is particularly sali…
AI in Support of Diversity and Inclusion
Ãiçek Güven, Afra Alishahi, Henry Brighton +7
In this paper, we elaborate on how AI can support diversity and inclusion and exemplify research projects conducted in that direction. We start by looking at the challenges and pro…