Papers by Andrea Hrckova
Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling (2024.findings-emnlp)
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| Challenge: | Existing datasets for genderstereotypical reasoning are limited and often limited to overly specific phenomena. |
| Approach: | They propose to use GEST to measure gender-stereotypical reasoning in language models and machine translation systems. |
| Outcome: | The proposed dataset contains 16 gender stereotypes compatible with the English language and 9 Slavic languages. |