Assessing logical reasoning capabilities of encoder-only transformer models (2024)
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Symbolic Learning and Reasoning. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, LINGUAGEM NATURAL, RACIOCÍNIO DEDUTIVO E INDUTIVO
ABNT
SILVA, Paulo Pirozelli Almeida et al. Assessing logical reasoning capabilities of encoder-only transformer models. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-71167-1_2. Acesso em: 01 nov. 2025. , 2024APA
Silva, P. P. A., José, M. M., Parenti Filho, P. de T., Brandão, A. A. F., & Cozman, F. G. (2024). Assessing logical reasoning capabilities of encoder-only transformer models. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-71167-1_2NLM
Silva PPA, José MM, Parenti Filho P de T, Brandão AAF, Cozman FG. Assessing logical reasoning capabilities of encoder-only transformer models [Internet]. Lecture Notes in Computer Science. 2024 ; 14979 29-46.[citado 2025 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-71167-1_2Vancouver
Silva PPA, José MM, Parenti Filho P de T, Brandão AAF, Cozman FG. Assessing logical reasoning capabilities of encoder-only transformer models [Internet]. Lecture Notes in Computer Science. 2024 ; 14979 29-46.[citado 2025 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-71167-1_2
