Official implementation for POUF (Prompt-oriented unsupervised fine-tuning for large pre-trained models)
POUF is an unsupervised fine-tuning framework for adapting prompt-based zero-shot models on the target data.
Please refer to the subfolders pouf_lvm
for image experiments and pouf_mlm
for text experiments.
If you find this code useful for your research, please cite our paper.
@article{tanwisuth2023pouf,
title={POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models},
author={Tanwisuth, Korawat and Zhang, Shujian and Zheng, Huangjie and He, Pengcheng and Zhou, Mingyuan},
journal={arXiv preprint arXiv:2305.00350},
year={2023}
}