1 code implementation • 6 Oct 2023 • Cong Jiang, Denis Talbot, Sara Carazo, Mireille E Schnitzer
While the test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, it is susceptible to selection bias due to outcome-dependent sampling.
1 code implementation • 17 Jul 2023 • Cong Jiang, Xiaolei Yang
In this paper, we propose legal syllogism prompting (LoT), a simple prompting method to teach large language models (LLMs) for legal judgment prediction.
1 code implementation • 24 May 2023 • Quzhe Huang, Mingxu Tao, Chen Zhang, Zhenwei An, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng
Specifically, we inject domain knowledge during the continual training stage and teach the model to learn professional skills using properly designed supervised fine-tuning tasks.
1 code implementation • 31 Oct 2022 • Zhenwei An, Quzhe Huang, Cong Jiang, Yansong Feng, Dongyan Zhao
The charge prediction task aims to predict the charge for a case given its fact description.