Enhancing logical reasoning in language models: An investigation of the Capybara dataset

Luis Eduardo Muñoz Guerrero; Yony Fernando Ceballos; Luis David Trejos Rojas

doi:10.30935/cedtech/16425

Luis Eduardo Muñoz Guerrero ¹, Yony Fernando Ceballos ², Luis David Trejos Rojas ¹ ^*

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CONT ED TECHNOLOGY, Volume 17, Issue 3, Article No: ep582

https://doi.org/10.30935/cedtech/16425

Submitted: 26 July 2024, Published Online: 02 June 2025

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Abstract

Recent progress made in conversational AI lays emphasis on the need for development of language models that possess solid logical reasoning skills and further extrapolated capabilities. An examination into this phenomenon investigates how well the Capybara dataset can improve one’s ability to reason using language-based systems. Multiple cutting-edge linguistic models were fine-tuned using the Capybara corpus before assessing their performances on standard tasks demanding sophisticated reasoning. The comparison using different ways reveals that the logical reasoning of models improves and their ability to make inferences is enhanced. This research explores this further by considering what it means for developers who want more human-like machine conversation intelligence. We also see that this could become an invaluable tool when training reasoning-oriented language generating models.

Keywords: logical reasoning, language models, Capybara dataset, fine-tuning, extrapolation, conversational AI

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Citation

Muñoz Guerrero, L. E., Ceballos, Y. F., & Trejos Rojas, L. D. (2025). Enhancing logical reasoning in language models: An investigation of the Capybara dataset. Contemporary Educational Technology, 17(3), ep582. https://doi.org/10.30935/cedtech/16425

Muñoz Guerrero, L. E., Ceballos, Y. F., and Trejos Rojas, L. D. (2025). Enhancing logical reasoning in language models: An investigation of the Capybara dataset. Contemporary Educational Technology, 17(3), ep582. https://doi.org/10.30935/cedtech/16425

Muñoz Guerrero LE, Ceballos YF, Trejos Rojas LD. Enhancing logical reasoning in language models: An investigation of the Capybara dataset. CONT ED TECHNOLOGY. 2025;17(3), ep582. https://doi.org/10.30935/cedtech/16425

Muñoz Guerrero, Luis Eduardo, Yony Fernando Ceballos, and Luis David Trejos Rojas. "Enhancing logical reasoning in language models: An investigation of the Capybara dataset". Contemporary Educational Technology 2025 17 no. 3 (2025): ep582. https://doi.org/10.30935/cedtech/16425

Muñoz Guerrero, Luis Eduardo et al. "Enhancing logical reasoning in language models: An investigation of the Capybara dataset". Contemporary Educational Technology, vol. 17, no. 3, 2025, ep582. https://doi.org/10.30935/cedtech/16425

Muñoz Guerrero LE, Ceballos YF, Trejos Rojas LD. Enhancing logical reasoning in language models: An investigation of the Capybara dataset. CONT ED TECHNOLOGY. 2025;17(3):ep582. https://doi.org/10.30935/cedtech/16425