3 papers
cs.CL2026
Is She Even Relevant? When BERT Ignores Explicit Gender Cues
Jonas Klein, Chiara Manna, Eva Vanmassenhove
Gender bias in large language models has primarily been investigated for English, while languages with grammatical or morphological gender remain comparatively understudied. This p…
cs.CL2026
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…
cs.CL2025
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation
Chiara Manna, Afra Alishahi, Frédéric Blain +1
While gender bias in modern Neural Machine Translation (NMT) systems has received much attention, traditional evaluation metrics do not to fully capture the extent to which these s…