LIMO challenges conventional wisdom by achieving superior mathematical reasoning capabilities using only 817 training samples, outperforming models trained on 100x more data. The research introduces the Less-Is-More Reasoning Hypothesis, suggesting that complex reasoning can emerge through minimal but precise demonstrations when domain knowledge is well-encoded during pre-training.

https://arxiv.org/abs/2502.03387

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