KITE greedily selects in-context examples by maximizing a kernelized query-specific relevance score plus a D-optimal design diversity term, and reports accuracy gains over KATE, BM25, and DPP baselines on five classification benchmarks.
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KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
KITE greedily selects in-context examples by maximizing a kernelized query-specific relevance score plus a D-optimal design diversity term, and reports accuracy gains over KATE, BM25, and DPP baselines on five classification benchmarks.