Wenmin Deng

LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification

The few-shot tasks require the model to have the ability to generalize from a few samples. However, due to the lack of cognitive ability, the current works cannot fully utilize limited samples to expand the sample space and still suffer from overfitting issues. To address the problems, we propose a…