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First, using the demonstrations significantly outperforms the no demonstrations method even with small k (k = 4), and performance drop from using gold labels to using random labels is consistently small across varying k, in the range of 0.8–1.6%.7 Interestingly, model performance does not increase much as k increases when k ≥ 8, both with gold labels and with random labels.
Following the findings from Min et al. (2022)(opens in a new tab), here are a few more tips about demonstrations/exemplars when doing few-shot:
training GPT to query with few-shot prompting.
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