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September 30, 2025Open Access

Improving Multilingual Math Reasoning for African Languages

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Authors

OOOdunayo OgundepoAOAkintunde OladipoKOKelechi Ogueji

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Overview

This research demonstrates adaptation strategies for language models in low-resource contexts, highlighting their effectiveness in African languages.

Key Points

  • Extensive experiments reveal optimal adaptation strategies for extending language models to low-resource languages like those in Africa.
  • Ablation studies compare various data types, training stages, and model adaptations, providing insights into effective practices.
  • Investigating mathematical reasoning tasks with the Llama 3.1 model family highlights the importance of tailored strategies.
  • Findings emphasize the need for enhancing data availability and computational resources to improve multilingual capabilities.

Cite This Study

Ogundepo et al. (2025) studied this question.

synapsesocial.com/papers/68dc12c58a7d58c25ebb08cbhttps://doi.org/10.48550/arxiv.2505.19848
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