CrossTune: Black-Box Few-Shot Classification with Label Enhancement

no code implementations • 19 Mar 2024 • Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li

Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstream tasks.

Few-Shot Text Classification In-Context Learning +2

Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation

no code implementations • 23 May 2023 • Danqing Luo, Chen Zhang, Jiahui Xu, Bin Wang, Yiming Chen, Yan Zhang, Haizhou Li

To achieve this, we treat the black-box model as a feature extractor and train a classifier with the augmented text data.

Data Augmentation Few-Shot Text Classification +2