Performance analysis of LLMs for abstractive summarization of brazilian legislative documents (2025)
Lucena, Danilo Carlos Gouveia de 
; Souza, Ellen Polliana Ramos ; Albuquerque, Hidelberg Oliveira ; Silva, Nádia Felix Felipe da ; Oliveira, Adriano Lorena Inacio de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Annual International Conference on Digital Government Research - DG.O. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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ABNT
LUCENA, Danilo Carlos Gouveia de et al. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.969. Acesso em: 19 fev. 2026.APA
Lucena, D. C. G. de, Souza, E. P. R., Albuquerque, H. O., Silva, N. F. F. da, Oliveira, A. L. I. de, & Carvalho, A. C. P. de L. F. de. (2025). Performance analysis of LLMs for abstractive summarization of brazilian legislative documents. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.969NLM
Lucena DCG de, Souza EPR, Albuquerque HO, Silva NFF da, Oliveira ALI de, Carvalho ACP de LF de. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents [Internet]. Proceedings. 2025 ;[citado 2026 fev. 19 ] Available from: https://doi.org/10.59490/dgo.2025.969Vancouver
Lucena DCG de, Souza EPR, Albuquerque HO, Silva NFF da, Oliveira ALI de, Carvalho ACP de LF de. Performance analysis of LLMs for abstractive summarization of brazilian legislative documents [Internet]. Proceedings. 2025 ;[citado 2026 fev. 19 ] Available from: https://doi.org/10.59490/dgo.2025.969
