Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners

Daniele Paliotta, Junxiong Wang, Matteo Pagliardini +6

Recent advancements have demonstrated that the performance of large language models (LLMs) can be significantly enhanced by scaling computational resources at test time. A common s…