We further demonstrate that using a diversity of prompts through ensembling further improves accuracy to 39.6%.
while this paradigm has been used to achieve a number of intriguing results regarding the knowledge expressed by LMs, they usually rely on prompts that were manually created based on the intuition of the experimenter.