@inproceedings{garcia-etal-2026-think,
title = "Think {P}ortuguese with Bode Reasoning",
author = "Garcia, Gabriel Lino and
Schuck, Andr{\'e} da F. and
Manesco, Jo{\~a}o R. R. and
Paiola, Pedro Henrique and
Passos, Leandro A. and
Papa, Jo{\~a}o Paulo",
editor = "Souza, Marlo and
de-Dios-Flores, Iria and
Santos, Diana and
Freitas, Larissa and
Souza, Jackson Wilke da Cruz and
Ribeiro, Eug{\'e}nio",
booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 1",
month = apr,
year = "2026",
address = "Salvador, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.propor-1.95/",
pages = "953--958",
ISBN = "979-8-89176-387-6",
abstract = "Large Language Models (LLMs) have introduced reasoning capabilities through multi-step problem-solving processes. These models predominantly perform reasoning in English, limiting their effectiveness in other languages. This paper introduces Bode Reasoning, a Portuguese-language reasoning approach built upon fine-tuned Qwen3-4B and Qwen3-4B-Thinking models, and the Bode Reasoning Portuguese Dataset, comprising 13,961 instances from Brazilian examinations and translated datasets. Through supervised fine-tuning, the proposed approach successfully shifts the reasoning process to Brazilian Portuguese while reducing output verbosity. Experimental evaluation demonstrates that fine-tuned models generate Portuguese reasoning in 86-98.7{\%} of outputs and achieve superior lexical alignment with reference answers. However, this specialization results in moderate mean G-Eval and accuracy degradation across diverse multiple-choice question types, highlighting inherent trade-offs in adapting multilingual reasoning models."
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%0 Conference Proceedings
%T Think Portuguese with Bode Reasoning
%A Garcia, Gabriel Lino
%A Schuck, André da F.
%A Manesco, João R. R.
%A Paiola, Pedro Henrique
%A Passos, Leandro A.
%A Papa, João Paulo
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F garcia-etal-2026-think
%X Large Language Models (LLMs) have introduced reasoning capabilities through multi-step problem-solving processes. These models predominantly perform reasoning in English, limiting their effectiveness in other languages. This paper introduces Bode Reasoning, a Portuguese-language reasoning approach built upon fine-tuned Qwen3-4B and Qwen3-4B-Thinking models, and the Bode Reasoning Portuguese Dataset, comprising 13,961 instances from Brazilian examinations and translated datasets. Through supervised fine-tuning, the proposed approach successfully shifts the reasoning process to Brazilian Portuguese while reducing output verbosity. Experimental evaluation demonstrates that fine-tuned models generate Portuguese reasoning in 86-98.7% of outputs and achieve superior lexical alignment with reference answers. However, this specialization results in moderate mean G-Eval and accuracy degradation across diverse multiple-choice question types, highlighting inherent trade-offs in adapting multilingual reasoning models.
%U https://aclanthology.org/2026.propor-1.95/
%P 953-958
Markdown (Informal)
[Think Portuguese with Bode Reasoning](https://aclanthology.org/2026.propor-1.95/) (Garcia et al., PROPOR 2026)
ACL
- Gabriel Lino Garcia, André da F. Schuck, João R. R. Manesco, Pedro Henrique Paiola, Leandro A. Passos, and João Paulo Papa. 2026. Think Portuguese with Bode Reasoning. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 953–958, Salvador, Brazil. Association for Computational Linguistics.