3 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES)
Guido Ivetta, Pietro Palombini, Sofía 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…
Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
Dorian Peters, Fernanda Espinoza, Marco da Re +3
There is justifiable interest in leveraging conversational AI (CAI) for health across the majority world, but to be effective, CAI must respond appropriately within culturally and…
ROSA: Addressing text understanding challenges in photographs via ROtated SAmpling
Hernán Maina, Guido Ivetta, Mateo Lione Stuto +3
Visually impaired people could benefit from Visual Question Answering (VQA) systems to interpret text in their surroundings. However, current models often struggle with recognizing…
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, Sofía 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…
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32
Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…