Exploring Brazil’s LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese

This repository contains the code and results associated with the paper accepted for the Special Issue on Language Models for Portuguese of the Journal of the Brazilian Computer Society (JBCS), Exploring Brazil’s LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese.

---

Image Generated by Gemini

CITING

Assis, G., Freitas, C., & Paes, A. (2025). Exploring Brazil’s LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese. Journal of the Brazilian Computer Society, 31(1), 940–972. https://doi.org/10.5753/jbcs.2025.5814

BIBTEX

@article{Assis_Freitas_Paes_2025,
    title={Exploring Brazil’s LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese},
    volume={31},
    url={https://journals-sol.sbc.org.br/index.php/jbcs/article/view/5814},
    DOI={10.5753/jbcs.2025.5814},
    number={1},
    journal={Journal of the Brazilian Computer Society},
    author={Assis, Gabriel and Freitas, Cláudia and Paes, Aline},
    year={2025},
    month={Oct.},
    pages={940–972}
}

FUNDING

This research was financed by CNPq (National Council for Scientific and Technological Development), FAPERJ - \textit{Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro}, processes SEI-260003/002930/2024, SEI-260003/000614/2023, and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. We also acknowledge the support of the Maritaca AI credits program, which enabled access to Sabiá models.