Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting (2026)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; SILVA, ANDRÉ DE SOUZA LOUREIRO - ESALQ
- Unidades: ICMC; ESALQ
- DOI: 10.1007/978-3-032-06078-5_12
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL
- Keywords: Large Language Models; Adaptive Prompting; Multi-Step Reasoning; LLMs for Mathematical Reasoning
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16016, p. 205-223, 2026
- Conference titles: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LOUREIRO, André de Souza et al. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-06078-5_12. Acesso em: 20 mar. 2026. , 2026 -
APA
Loureiro, A. de S., Valverde-Rebaza, J. C., Noguez, J., Escarcega, D., & Marcacini, R. M. (2026). Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-06078-5_12 -
NLM
Loureiro A de S, Valverde-Rebaza JC, Noguez J, Escarcega D, Marcacini RM. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16016 205-223.[citado 2026 mar. 20 ] Available from: https://doi.org/10.1007/978-3-032-06078-5_12 -
Vancouver
Loureiro A de S, Valverde-Rebaza JC, Noguez J, Escarcega D, Marcacini RM. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16016 205-223.[citado 2026 mar. 20 ] Available from: https://doi.org/10.1007/978-3-032-06078-5_12 - Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
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