Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.

@inproceedings{xu-2023-making, author = {Ziyun Xu and Chengyu Wang and Minghui Qiu and Fuli Luo and Runxin Xu and Songfang Huang and Jun Huang}, editor = {Tat-Seng Chua and Hady Wirawan Lauw and Luo Si and Evimaria Terzi and Panayiotis Tsaparas}, title = {{Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning}}, booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}}, pages = {438--446}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539597.3570398}, doi = {https://doi.org/10.1145/3539597.3570398} }