AAAI 2025technical0 citations
Visual Question Answering for Peruvian Cuisine in Regional Spanish
Abstract
This project leverages Visual Question Answering (VQA) to promote Peruvian gastronomy by utilizing a culturally rich dataset and advanced models such as LLaVA-1.5 and GPT-2 Large. The evaluation will comprise both automated metrics and culinary expert assessments. This system addresses regional variations in dish names, promotes inclusivity by involving Peruvians from diverse regions in dataset construction, and enhances cultural representation.
BibTeX
@article{Risco Cosavalente_2025, title={Visual Question Answering for Peruvian Cuisine in Regional Spanish}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/35339}, DOI={10.1609/aaai.v39i28.35339}, abstractNote={This project leverages Visual Question Answering (VQA) to promote Peruvian gastronomy by utilizing a culturally rich dataset and advanced models such as LLaVA-1.5 and GPT-2 Large. The evaluation will comprise both automated metrics and culinary expert assessments. This system addresses regional variations in dish names, promotes inclusivity by involving Peruvians from diverse regions in dataset construction, and enhances cultural representation.}, number={28}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Risco Cosavalente, Mariana}, year={2025}, month={Apr.}, pages={29602-29604} }