arXiv — cs.AI preprintsInternational2 October 2026
MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation
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arXiv:2601.21225v5 Announce Type: replace-cross Abstract: Large language models have made substantial progress in mathematical reasoning. However, benchmark development for multilingual evaluation has lagged behind English in both difficulty and recency. Recently, GSM-Symbolic showed a strong evidence of high variance when models are evaluated on different instantiations of the same question; however, the evaluation was conducted only in English. In this paper, we introduce MGSM-Pro, an extension of MGSM dataset with GSM-Symbolic approach. Our dataset provides five instantiations per MGSM ques
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