FactReranker: Fact-guided Reranker for Faithful Radiology Report
Summarization

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization

15 March 2023

Fei Wang

Papers citing "FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization"

7 / 7 papers shown

Title
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization Gunjan Balde Soumyadeep Roy Mainack Mondal Niloy Ganguly VLM 24 4 0 07 May 2024
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models S. Hegselmann Zejiang Shen Florian Gierse Monica Agrawal David Sontag Xiaoyi Jiang HILM VLM 24 6 0 23 Feb 2024
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis Jan Trienes Paul Youssef Jorg Schlotterer Christin Seifert 16 0 0 24 Jul 2023
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation Sanjeev Kumar Karn Rikhiya Ghosh P. Kusuma Oladimeji Farri LM&MA MedIm AI4CE 31 12 0 05 Jun 2023
A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models Qianqian Xie Zheheng Luo Benyou Wang Sophia Ananiadou LM&MA VLM 28 8 0 18 Apr 2023
Pre-trained Language Models in Biomedical Domain: A Systematic Survey Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 37 163 0 11 Oct 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,432 0 22 Aug 2019