10 citations · 10 across the 4 of their papers we have counts for
4 papers
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
Yuelyu Ji, Zhuochun Li, Rui Meng +7
This paper introduces the RAG-RLRC-LaySum framework, designed to make complex biomedical research understandable to laymen through advanced Natural Language Processing (NLP) techni…
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti +2
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clini…
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records
Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
Objective: To pre-train fair and unbiased patient representations from Electronic Health Records (EHRs) using a novel weighted loss function that reduces bias and improves fairness…
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
David Oniani, Sonish Sivarajkumar, Yanshan Wang
Clinical Natural Language Processing (NLP) has become an emerging technology in healthcare that leverages a large amount of free-text data in electronic health records (EHRs) to im…