TNDDR: Efficient and doubly robust estimation of COVID-19 vaccine effectiveness under the test-negative design

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.

Selection bias

Legal Syllogism Prompting: Teaching Large Language Models for Legal Judgment Prediction

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.

Lawyer LLaMA Technical Report

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.

Hallucination Retrieval

Do Charge Prediction Models Learn Legal Theory?

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.