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English Information

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Authors
# Name
1 Laryssa Paiva(laryssapaiva@id.uff.br)
2 Gabriel Assis(assisgabriel@id.uff.br)
3 Annie Amorim(annieamorim@id.uff.br)
4 Luiz Gustavo Dias(lgdias@id.uff.br)
5 Aline Paes(alinepaes@ic.uff.br)
6 Daniel de Oliveira(danielcmo@ic.uff.br)

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Reference
# Reference
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27 Touvron, H. et al. (2023). LLaMA: Open and Efficient Foundation Language Models.
28 Vargas, F. et al. (2021). Contextual-lexicon approach for abusive language detection. In Proc. of the RANLP 2021, pages 1438–1447, Online. INCOMA Ltd.
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31 Zhao, W. X. et al. (2023). A survey of large language models. arXiv:2303.18223, 1(2).
32 Zhou, Y., Muresanu, A. I., Han, Z., Paster, K., Pitis, S., Chan, H., and Ba, J. (2023). Large language models are human-level prompt engineers.