KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning

Vaibhav Singh, Soumya Suvra Ghosal, Kapu Nirmal Joshua +2

In-context learning (ICL) has emerged as a powerful paradigm for adapting large language models (LLMs) to new and data-scarce tasks using only a few carefully selected task-specifi…