2025
Dual Debiasing for Noisy In-Context Learning for Text Generation
ACL 2025finding
In-context learning (ICL) relies heavily on high-quality demonstrations drawn from large annotated corpora. Existing approaches detect noisy annotations by ranking local perplexities, presuming that noisy samples yield higher perplexities than their clean counterparts. However, this assumption break…