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English Information

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Authors
# Name
1 João Superbi(joao.superbi1608@gmail.com)
2 Heitor Pinto(hpff999@gmail.com)
3 Emanoel Santos(emanoelvisali@gmail.com)
4 Lucas Lattari(lucas.lattari@ifsudestemg.edu.br)
5 Bianca Castro(bianca.castro@ifsudestemg.edu.br)

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Reference
# Reference
1 Bordt, S. and von Luxburg, U. (2023). Chatgpt participates in a computer science exam. arXiv preprint arXiv:2303.09461.
2 Choi, J. H., Hickman, K. E., Monahan, A. B., and Schwarcz, D. (2021). Chatgpt goes to law school. J. Legal Educ., 71:387.
3 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). Bert: Pre-training of deep bidirectional transformers for language understanding. In North American Chapter of the Association for Computational Linguistics.
4 Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Kuttler, H., Lewis, ¨ M., Yih, W.-t., Rocktaschel, T., Riedel, S., and Kiela, D. (2020). Retrieval-augmented ¨ generation for knowledge-intensive nlp tasks. In Proceedings of the 34th International Conference on Neural Information Processing Systems, N.IPS ’20, Red Hook, NY, USA. Curran Associates Inc
5 Mendonc¸a, N. C. (2024). Evaluating chatgpt-4 vision on brazil’s national undergraduate computer science exam. ACM Trans. Comput. Educ. Just Accepted.
6 Mercan, O. B., Cavsak, S. N., Deliahmetoglu, A., and Tanberk, S. (2023). Abstractive text summarization for resumes with cutting edge nlp transformers and lstm. 2023 Innovations in Intelligent Systems and Applications Conference (ASYU), pages 1–6.
7 Nunes, D., Primi, R., Pires, R., Lotufo, R., and Nogueira, R. (2023). Evaluating gpt-3.5 and gpt-4 models on brazilian university admission exams. arXiv preprint arXiv:2303.17003.
8 Pires, R., Almeida, T. S., Abonizio, H., and Nogueira, R. (2023). Evaluating gpt-4’s vision capabilities on brazilian university admission exams. arXiv preprint arXiv:2311.14169
9 Reimers, N. and Gurevych, I. (2019). Sentence-bert: Sentence embeddings using siamese bert-networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
10 Silva, B., Nunes, L., Estevao, R., Aski, V., and Chandra, R. (2023). Gpt-4 as an agronomist assistant? answering agriculture exams using large language models. arXiv preprint arXiv:2310.06225.