Surprise Calibration for Better In-Context Learning

Zhihang Tan, Jingrui Hou, Ping Wang +2

In-context learning (ICL) has emerged as a powerful paradigm for task adaptation in large language models (LLMs), where models infer underlying task structures from a few demonstra…