Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Han Zhou, Xingchen Wan, Lev Proleev +4

Prompting and in-context learning (ICL) have become efficient learning paradigms for large language models (LLMs). However, LLMs suffer from prompt brittleness and various bias fac…