FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs

LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL). The main problem lies in selecting the most representative demonstrations from large…