2 papers
cs.CY2026
Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES)
Guido Ivetta, Pietro Palombini, SofÃa Martinelli +5
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 t…
cs.CL2025
HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin America
Guido Ivetta, Marcos J. Gomez, SofÃa Martinelli +5
Most resources for evaluating social biases in Large Language Models are developed without co-design from the communities affected by these biases, and rarely involve participatory…