Large language models as tools to improve Bayesian causal discovery (2025)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; SILVA, FLAVIO SOARES CORREA DA - IME ; VIDEIRA, BRUNA BAZALUK MACHADO - IME
- Unidade: IME
- Subjects: INFERÊNCIA BAYESIANA; LINGUAGEM; ANÁLISE CAUSAL; INTELIGÊNCIA ARTIFICIAL
- Keywords: Efeito causal
- Language: Inglês
- Imprenta:
- Publisher: AUAI Press
- Publisher place: Corvallis
- Date published: 2025
- Source:
- Título: Proceedings
- Volume/Número/Paginação/Ano: p. 1-13, 2025
- Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI
-
ABNT
BAZALUK, Bruna et al. Large language models as tools to improve Bayesian causal discovery. 2025, Anais.. Corvallis: AUAI Press, 2025. p. 1-13. Disponível em: https://openreview.net/pdf?id=k3qX5G46zw. Acesso em: 09 jan. 2026. -
APA
Bazaluk, B., Wang, B., Mauá, D. D., & Silva, F. S. C. da. (2025). Large language models as tools to improve Bayesian causal discovery. In Proceedings (p. 1-13). Corvallis: AUAI Press. Recuperado de https://openreview.net/pdf?id=k3qX5G46zw -
NLM
Bazaluk B, Wang B, Mauá DD, Silva FSC da. Large language models as tools to improve Bayesian causal discovery [Internet]. Proceedings. 2025 ; 1-13.[citado 2026 jan. 09 ] Available from: https://openreview.net/pdf?id=k3qX5G46zw -
Vancouver
Bazaluk B, Wang B, Mauá DD, Silva FSC da. Large language models as tools to improve Bayesian causal discovery [Internet]. Proceedings. 2025 ; 1-13.[citado 2026 jan. 09 ] Available from: https://openreview.net/pdf?id=k3qX5G46zw - Towards a transformer-based pre-trained model for IoT traffic classification
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