Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning

Chengsong Huang, Langlin Huang, Jiaxin Huang

In-Context Learning (ICL) emerges as a key feature for Large Language Models (LLMs), allowing them to adapt to new tasks by leveraging task-specific examples without updating model…