Publications

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Prompt Discriminative Language Models for Domain Adaptation

Published in Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

This paper explores a method tailored for biomedical domain adaptation of discriminative language models, incorporating prompt-based continual pretraining and prompt tuning for downstream tasks.

Recommended citation: Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, and Junwei Lu. 2023. Prompt Discriminative Language Models for Domain Adaptation. In Proceedings of the 5th Clinical Natural Language Processing Workshop, pages 247–258, Toronto, Canada. Association for Computational Linguistics.
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Predict health insurance purchase with machine learning techniques

Published in Available at SSRN 3923317, 2021

This paper presents a study on enhancing prediction of customers’ health insurance purchasing possibilities using various supervised classification models.

Recommended citation: Liu, Yixuan and Liu, Yixuan and Bo, Keyuan and Yi, Qingxin and Wang, Zhiyi and Sun, Yuwen and Xu, Junjie and Zhang, Xueke and Xu, Ran, Predict Health Insurance Purchase with Machine Learning Techniques (September 14, 2021). Available at SSRN: https://ssrn.com/abstract=3923317 or http://dx.doi.org/10.2139/ssrn.3923317
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