AI RESEARCH
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
arXiv CS.AI
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ArXi:2509.15676v2 Announce Type: replace-cross 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-specific examples presented in the prompt.