Kailun Bian

Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes

LLMs with in-context learning (ICL) obtain remarkable performance but are sensitive to the quality of ICL examples. Prior works on ICL example selection explored unsupervised heuristic methods and supervised LLM-based methods, but they typically focus on the selection of individual examples and igno