Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

A starting point.

This paper examines scaling inference-time computation, exploring how additional test-time resources can improve language-model problem solving.

What to keep in mind

Read the original paper for the experimental setting, baselines, and limitations; a result in one setting is not a guarantee of performance elsewhere.

This work is included in a researcher’s reading path. A detailed editorial explanation is still being prepared. The complete manuscript is available in Full paper.

Source: Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters. The original manuscript contains the methods, experiments, figures, and references. An arXiv posting date may follow an earlier conference publication. Read the linked record for version history.