Papers by Yuyun Wabula

1 papers
MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia (2026.findings-eacl)

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Challenge: Large Language Models excel at mathematical reasoning in English, but their performance in low-resource languages remains underexplored.
Approach: They propose a multilingual benchmark for mathematical problem solving in Indonesian, Javanese, Sundanese, and Buginese with English as a reference.
Outcome: The proposed model reveals significant performance gaps in low-resource languages, particularly Buginese, and highlights key limitations in current multilingual reasoning capabilities.

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