'One size doesn't fit all': Learning how many Examples to use for In-Context Learning for Improved Text Classification

no code implementations • 11 Mar 2024 • Manish Chandra, Debasis Ganguly, Yiwen Li, Iadh Ounis

While existing work uses a static number of examples during inference for each data instance, in this paper we propose a novel methodology of dynamically adapting the number of examples as per the data.

In-Context Learning text-classification +1