LIMO: Less is More for Reasoning

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.