Search Results for author: Junda Wang

Found 7 papers, 2 papers with code

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

no code implementations27 Feb 2024 Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu

To further improve the performance of these systems in the medical domain, we introduce an innovative method that jointly trains an Information Retrieval (IR) system and an LLM during the fine-tuning phase.

Information Retrieval Question Answering +1

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes

1 code implementation24 Oct 2023 Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu

We introduce NoteChat, a novel cooperative multi-agent framework leveraging Large Language Models (LLMs) to generate patient-physician dialogues.

Dialogue Generation

Can the Black Lives Matter Movement Reduce Racial Disparities? Evidence from Medical Crowdfunding

no code implementations23 Oct 2023 Kaixin Liu, Jiwei Zhou, Junda Wang

Using high-frequency donation records from a major medical crowdfunding site and careful difference-in-difference analysis, we demonstrate that the 2020 BLM surge decreased the fundraising gap between Black and non-Black beneficiaries by around 50\%.

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?

1 code implementation29 Jun 2023 Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu

This paper presents UMASS_BioNLP team participation in the MEDIQA-Chat 2023 shared task for Task-A and Task-C. We focus especially on Task-C and propose a novel LLMs cooperation system named a doctor-patient loop to generate high-quality conversation data sets.

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications

no code implementations29 Sep 2022 Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo

Causal inference and model interpretability research are gaining increasing attention, especially in the domains of healthcare and bioinformatics.

Causal Inference

How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe

no code implementations18 Jun 2021 Junda Wang, Xupin Zhang, Jiebo Luo

More importantly, sentiment analysis and the paired sample t-test are performed to examine the differences in crowdfunding campaigns before and after the COVID-19 outbreak that started in March 2020.

counterfactual Sentiment Analysis

Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination

no code implementations3 Dec 2020 Hanjia Lyu, Wei Wu, Junda Wang, Viet Duong, Xiyang Zhang, Jiebo Luo

People who have the worst personal pandemic experience are more likely to hold the anti-vaccine opinion.

Social and Information Networks

Cannot find the paper you are looking for? You can Submit a new open access paper.