Mathematics has long been conveyed through natural language, primarily for human understanding. With the rise of mechanized mathematics and proof assistants, there is a growing need to understand informal mathematical text, yet most existing benchmarks focus solely on English, overlooking other languages. This paper introduces RoMath, a Romanian mathematical reasoning benchmark suite comprising three subsets: Baccalaureate, Competitions and Synthetic, which cover a range of mathematical domains and difficulty levels, aiming to improve non-English language models and promote multilingual AI development. By focusing on Romanian, a low-resource language with unique linguistic features, RoMath addresses the limitations of Anglo-centric models and emphasizes the need for dedicated resources beyond simple automatic translation. We benchmark several open-weight language models, highlighting the importance of creating resources for underrepresented languages. Code and datasets are be made available.
RoMath: A Mathematical Reasoning Benchmark in Romanian
Mathematics has long been conveyed through natural language, primarily for human understanding.
- Year
- 2024
- Venue
- arXiv 2024
- Authors
- 3
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2409.11074v3ARXIV-DEFAULT
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