Papers by Jacqueline Rowe

1 papers
EuroGEST: Investigating gender stereotypes in multilingual language models (2025.emnlp-main)

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Challenge: Large language models encode social biases, but most benchmarks for gender bias remain English-centric.
Approach: They propose a dataset to measure gender-stereotypical reasoning in large language models across English and 29 European languages.
Outcome: The proposed method is highly accurate across languages and strong in translations and gender labels.

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