When and How Unlabeled Data Provably Improve In-Context Learning

Yingcong Li, Xiangyu Chang, Muti Kara +3

Recent research shows that in-context learning (ICL) can be effective even when demonstrations have missing or incorrect labels. To shed light on this capability, we examine a cano…