Refract ICL: Rethinking Example Selection in the Era of Million-Token Models

Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan +3

The emergence of long-context large language models (LLMs) has enabled the use of hundreds, or even thousands, of demonstrations for in-context learning (ICL) - a previously imprac…