Optimizing Reasoning Performance: A Comprehensive Analysis of Inference-Time Scaling Methods in Language Models

Optimizing Reasoning Performance: A Comprehensive Analysis of Inference-Time Scaling Methods in Language Models

Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational resources and specialized techniques. This challenge has motivated the development of inference-time compute (ITC) scaling methods, which allocate additional computational resources to enhance model outputs during inference. The landscape of language model reasoning has evolved along two…