Summary of Romath: a Mathematical Reasoning Benchmark in Romanian, by Adrian Cosma et al.
RoMath: A Mathematical Reasoning Benchmark in Romanian
by Adrian Cosma, Ana-Maria Bucur, Emilian Radoi
First submitted to arxiv on: 17 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces RoMath, a Romanian mathematical reasoning benchmark suite that aims to improve non-English language models and promote multilingual AI development. The suite comprises three datasets: RoMath-Baccalaureate, RoMath-Competitions, and RoMath-Synthetic, which cover various mathematical domains and difficulty levels. By focusing on Romanian, a low-resource language with unique linguistic features, the paper highlights the limitations of Anglo-centric models and emphasizes the need for dedicated resources beyond simple automatic translation. The authors benchmark several open-weight language models and demonstrate the importance of creating resources for underrepresented languages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special test to help computers understand math problems written in Romanian. Romanian is a less common language, but it has its own way of expressing math ideas. The test includes three different sets of math problems that cover various topics and levels of difficulty. By focusing on Romanian, the researchers show how important it is to create computer programs that can understand languages other than English. |
Keywords
» Artificial intelligence » Translation
