Qi Long

In-context learning (ICL) performance depends critically on which demonstrations are placed in the prompt, yet most existing selectors prioritize heuristic notions of relevance or diversity and provide limited insight into the \textbf{coverage} of a demonstration set. We propose \textbf{Unseen Co...