When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning 事件

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning arXiv:2605.26350v1 Announce Type: cross Abstract: In-context learning (ICL) is often motivated by the intuition that demonstrations help because they provide correct input-output examples. However, we reveal a counterintuitive phenomenon: correctness does not guarantee exemplar utility, and some correct demonstrations can even reduce ICL accuracy. To study this correctness-utility gap, we introduce task-pr