ReP USP - Resultado da busca

Filtros : "Automatic essay scoring" Limpar

Filtros

USP affiliated authors
- mauá, denis deratani (2)
- silveira, igor cataneo (2)
- barbosa, andré (1)
- costa, daniel silva lopes da (1)
- cozman, fabio gagliardi (1)

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: 26 jan. 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 jan. 26 ] 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 jan. 26 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12
Trabalho de evento
Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks (2023)
Rocha, Victor Hugo Nascimento ; Silveira, Igor Cataneo ; Pirozelli, Paulo ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Unidades: IME, EP, IEA
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, ARGUMENTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Victor Hugo Nascimento et al. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-49008-8_34. Acesso em: 26 jan. 2026.
APA
Rocha, V. H. N., Silveira, I. C., Pirozelli, P., Mauá, D. D., & Cozman, F. G. (2023). Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks. In . Cham: Springer. doi:10.1007/978-3-031-49008-8_34
NLM
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34
Vancouver
Rocha VHN, Silveira IC, Pirozelli P, Mauá DD, Cozman FG. Assessing good, bad and ugly arguments generated by ChatGPT: a new dataset, its methodology and associated tasks [Internet]. 2023 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.1007/978-3-031-49008-8_34

Digital Library of Intellectual Production of Universidade de São Paulo 2012 - 2026