2024
Using Clustering to Improve the Performance of few-shot Learning
ICASSP 2024accepted
With the rise of pre-trained language models, few-shot learning has experienced significant progress in terms of performance. Nevertheless, there remains considerable scope for improvement. The objective of this study is to improve the efficacy of few-shot learning by introducing an enhanced prompt…