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Dissertação (Mestrado)
Automated essay scoring for Brazilian Portuguese: evidence from Cross-Prompt evaluation of ENEM essays (2025)
Barbosa, André; Mauá, Denis Deratani (Orientador)
Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, REDAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, André. Automated essay scoring for Brazilian Portuguese: evidence from Cross-Prompt evaluation of ENEM essays. 2025. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-25092025-141609/. Acesso em: 10 fev. 2026.
APA
Barbosa, A. (2025). Automated essay scoring for Brazilian Portuguese: evidence from Cross-Prompt evaluation of ENEM essays (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-25092025-141609/
NLM
Barbosa A. Automated essay scoring for Brazilian Portuguese: evidence from Cross-Prompt evaluation of ENEM essays [Internet]. 2025 ;[citado 2026 fev. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-25092025-141609/
Vancouver
Barbosa A. Automated essay scoring for Brazilian Portuguese: evidence from Cross-Prompt evaluation of ENEM essays [Internet]. 2025 ;[citado 2026 fev. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-25092025-141609/
Trabalho de evento-anais periodico
Investigating universal adversarial attacks against transformers-based automatic essay scoring systems (2025)
Silveira, Igor Cataneo ; Barbosa, André ; Costa, Daniel Silva Lopes da; Mauá, Denis Deratani
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Igor Cataneo et al. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Lecture Notes in Computer Science. Cham: Springer Nature. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_12. Acesso em: 10 fev. 2026. , 2025
APA
Silveira, I. C., Barbosa, A., Costa, D. S. L. da, & Mauá, D. D. (2025). Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Lecture Notes in Computer Science. Cham: Springer Nature. doi:10.1007/978-3-031-79032-4_12
NLM
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Lecture Notes in Computer Science. 2025 ; 15413 169-183.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12
Vancouver
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Lecture Notes in Computer Science. 2025 ; 15413 169-183.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12
Artigo de periodico
An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese (2025)
Barbosa, André ; Silveira, Igor Cataneo ; Mauá, Denis Deratani
Source: Journal of the Brazilian Computer Society. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDAÇÃO, INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, André e SILVEIRA, Igor Cataneo e MAUÁ, Denis Deratani. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese. Journal of the Brazilian Computer Society, v. 31, n. 1, p. 858-871, 2025Tradução . . Disponível em: https://doi.org/10.5753/jbcs.2025.5817. Acesso em: 10 fev. 2026.
APA
Barbosa, A., Silveira, I. C., & Mauá, D. D. (2025). An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese. Journal of the Brazilian Computer Society, 31( 1), 858-871. doi:10.5753/jbcs.2025.5817
NLM
Barbosa A, Silveira IC, Mauá DD. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 858-871.[citado 2026 fev. 10 ] Available from: https://doi.org/10.5753/jbcs.2025.5817
Vancouver
Barbosa A, Silveira IC, Mauá DD. An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 858-871.[citado 2026 fev. 10 ] Available from: https://doi.org/10.5753/jbcs.2025.5817
Trabalho de evento
A new benchmark for automatic essay scoring in portuguese (2024)
Silveira, Igor Cataneo ; Barbosa, André; Mauá, Denis Deratani
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Igor Cataneo e BARBOSA, André e MAUÁ, Denis Deratani. A new benchmark for automatic essay scoring in portuguese. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.23. Acesso em: 10 fev. 2026.
APA
Silveira, I. C., Barbosa, A., & Mauá, D. D. (2024). A new benchmark for automatic essay scoring in portuguese. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.23
NLM
Silveira IC, Barbosa A, Mauá DD. A new benchmark for automatic essay scoring in portuguese [Internet]. Proceedings. 2024 ;[citado 2026 fev. 10 ] Available from: https://aclanthology.org/2024.propor-1.23
Vancouver
Silveira IC, Barbosa A, Mauá DD. A new benchmark for automatic essay scoring in portuguese [Internet]. Proceedings. 2024 ;[citado 2026 fev. 10 ] Available from: https://aclanthology.org/2024.propor-1.23

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