A Data-Centric Approach To Generate Faithful and High Quality Patient
Summaries with Large Language Models

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

23 February 2024

Papers citing "A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models"

10 / 10 papers shown

Title
Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models Anindya Bijoy Das Shibbir Ahmed Shahnewaz Karim Sakib HILM LM&MA 57 0 0 27 Apr 2025
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning Kyoka Ono Simon A. Lee LMTD 24 7 0 19 Jun 2024
Emergency Department Decision Support using Clinical Pseudo-notes Simon A. Lee Sujay Jain Alex Chen Kyoka Ono Jennifer Fang Á. Rudas Jeffrey N. Chiang 19 8 0 31 Jan 2024
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models Dave Van Veen Cara Van Uden Maayane Attias Anuj Pareek Christian Blüthgen ... Jean-Benoit Delbrouck Juan Manuel Zambrano Chaves C. Langlotz Akshay S. Chaudhari John M. Pauly LM&MA 55 27 0 02 May 2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization Qianqian Xie Jiayu Zhou Yifan Peng Fei Wang HILM MedIm 42 10 0 15 Mar 2023
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization Griffin Adams Jason Zucker Noémie Elhadad 54 23 0 07 Mar 2023
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 136 105 0 30 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 50 47 0 12 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 144 157 0 18 Feb 2021
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 178 3,510 0 10 Jun 2015