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HRM8K

Paper

Title: Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap

Large language models (LLMs) demonstrate exceptional performance on complex reasoning tasks. However, despite their strong reasoning capabilities in high-resource languages (e.g., English and Chinese), a significant performance gap persists in other languages. To investigate this gap in Korean, we introduce HRM8K, a benchmark comprising 8,011 English-Korean parallel bilingual math problems. Through systematic analysis of model behaviors, we identify a key finding: these performance disparities stem primarily from difficulties in comprehending non-English inputs, rather than limitations in reasoning capabilities. Based on these findings, we propose UST (Understand, Solve, and Translate), a method that strategically uses English as an anchor for reasoning and solution generation. By fine-tuning the model on 130k synthetically generated data points, UST achieves a 10.91% improvement on the HRM8K benchmark and reduces the multilingual performance gap from 11.6% to 0.7%. Additionally, we show that improvements from UST generalize effectively to different Korean domains, demonstrating that capabilities acquired from machine-verifiable content can be generalized to other areas. We publicly release the benchmark, training dataset, and models.

Homepage: https://huggingface.co/datasets/HAERAE-HUB/HRM8K

Citation

@article{ko2025understand,
  title={Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap},
  author={Ko, Hyunwoo and Son, Guijin and Choi, Dasol},
  journal={arXiv preprint arXiv:2501.02448},
  year={2025}
}

Groups and and Tasks

Groups

  • hrm8k: HRM8K comprises 8,011 instances for evaluation, sourced through a combination of translations from established English benchmarks (e.g., GSM8K, MATH, OmniMath, MMMLU) and original problems curated from existing Korean math exams. This benchmark consists of Korean instruction and question.
  • hrm8k_en: English version of hrm8k. This benchmark consists of English instruction and question.

Tasks

  • hrm8k_{gsm8k|ksm|math|mmmlu|omni_math}
  • hrm8k_en_{gsm8k|ksm|math|mmmlu|omni_math}

Checklist

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  • Is the task an existing benchmark in the literature?
    • Have you referenced the original paper that introduced the task?
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