Snell et al.

Test-time compute boosts LLM accuracy via majority vote, verifiers, and sequential reasoning

Test-time compute strategies allow for improved accuracy in language models by increasing computational resources during inference, rather than training larger models. Methods like majority vote (self-consistency) and b…