Language models are multilingual chain-of-thought reasoners
We evaluate the reasoning abilities of large language models in multilingual settings. We
introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating
250 grade-school math problems from the GSM8K dataset (Cobbe et al., 2021) into ten
typologically diverse languages. We find that the ability to solve MGSM problems via chain-
of-thought prompting emerges with increasing model scale, and that models have strikingly
strong multilingual reasoning abilities, even in underrepresented languages such as …
introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating
250 grade-school math problems from the GSM8K dataset (Cobbe et al., 2021) into ten
typologically diverse languages. We find that the ability to solve MGSM problems via chain-
of-thought prompting emerges with increasing model scale, and that models have strikingly
strong multilingual reasoning abilities, even in underrepresented languages such as …
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