2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
EMNLP 2025
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