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Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES)
The evaluation of societal biases in NLP models is critically hindered by a geo-cultural gap, This leaves regions such as Latin America severely underserved, making it impossible to adequately assess or mitigate the perpetuation of harmful regional stereotypes in language technologies. This paper
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