Results
Selection-inference prompting
Source: Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning by Antonia Creswell et al. (2022)

When applied to a 7B-parameter model, the authors found that selection-inference prompting substantially improved performance relative to chain-of-thought prompting on the bAbi and Proof Writer benchmark tasks (both of which require longer sequences of reasoning steps). The best performance they achieved combined both selection-inference prompting with fine-tuning.

Selection-inference prompting
Source: Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning by Antonia Creswell et al. (2022)