Categories of Inference-Time Scaling for Improved LLM Reasoning

Categories of Inference-Time Scaling for Improved LLM Reasoning And an Overview of Recent Inference-Scaling Papers (Including Recursive Language Models) Inference scaling has become one of the most effective ways to improve answer quality and accuracy in deployed LLMs. The idea is straightforward. If we are willing to spend a bit more compute, and more time at inference time (when we use the model to generate text), we can get the model to produce better answers. Every major LLM provider relies on some flavor of inference-time scaling today. And the academic literature around these methods has grown a lot, too. Back in March, I wrote an overview of the inference scaling landscape and summarized some of the early techniques. In this article, I want to take that earlier discussion a step further, group the different approaches into clearer categories, and highlight…