One size doesn't fit all: Predicting the Number of Examples for In-Context Learning

Manish Chandra, Debasis Ganguly, Iadh Ounis

In-context learning (ICL) refers to the process of adding a small number of localized examples from a training set of labelled data to an LLM's prompt with an objective to effectiv…