Language Specific Knowledge: Do Models Know Better in X than in English?

Summary

This paper talks about how AI models sometimes do a better job reasoning and answering questions when they use knowledge and step-by-step thinking in certain languages, even ones that aren't as common as English.

What's the problem?

Most people assume that AI models are always best in English because that's the language they are usually trained on the most, but this might not be true for every type of question or reasoning task, especially in languages with less training data.

What's the solution?

The researchers tested AI models in different languages and found that, for some tasks, the models actually performed better when they used the specific knowledge and logical steps of those languages instead of English.

Why it matters?

This matters because it shows that AI can be more helpful and accurate for people all over the world, not just English speakers, and it encourages developers to pay more attention to different languages when training and testing AI.