SGFT fine-tunes a small model to produce calculation-free solution plans and uses a second model to answer from them, outperforming CoT fine-tuning with roughly 3% of the training data.
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Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
SGFT fine-tunes a small model to produce calculation-free solution plans and uses a second model to answer from them, outperforming CoT fine-tuning with roughly 3% of the training data.