Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation

Owen Patterson, Chee Ng

In-Context Learning (ICL) empowers large language models to perform tasks by conditioning on a few input-output examples. However, the performance of ICL is highly sensitive to the…