2024
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning
ACL 2024findings
In this paper, by treating in-context learning (ICL) as a meta-optimization process, we explain why LLMs are sensitive to the order of ICL examples. This understanding leads us to the development of Batch-ICL, an effective, efficient, and order-agnostic inference algorithm for ICL. Differing from th…