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【第179期】s1: Simple test-time scaling

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s1: Simple test-time scaling

Summary

This research explores improving language model reasoning through a technique called test-time scaling, where extra computation during inference enhances performance. The authors introduce s1K, a small, high-quality dataset of reasoning problems, and budget forcing, a method to control the model's computational effort at test time. By finetuning a language model on s1K and using budget forcing, they achieve strong results on math reasoning benchmarks, even surpassing previously reported methods while using…

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