Retrieval augmentation of large language models for lay language
generation

Retrieval augmentation of large language models for lay language generation

7 November 2022

Papers citing "Retrieval augmentation of large language models for lay language generation"

9 / 9 papers shown

Title
Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation Yue Guo Jae Ho Sohn Gondy Leroy Trevor Cohen ELM 21 0 0 15 May 2025
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP Zonghai Yao Nandyala Siddharth Kantu Guanghao Wei Hieu Tran Zhangqi Duan Sunjae Kwon Zhichao Yang Readme annotation team Hong-ye Yu 26 7 0 24 Dec 2023
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization Yue Guo Tal August Gondy Leroy T. Cohen Lucy Lu Wang 57 9 0 23 May 2023
Multilingual Simplification of Medical Texts Sebastian Antony Joseph Kathryn Kazanas Keziah Reina Vishnesh J. Ramanathan Wei-ping Xu Byron C. Wallace Junyi Jessy Li 30 13 0 21 May 2023
A Dataset for Plain Language Adaptation of Biomedical Abstracts Kush Attal Brian D. Ondov Dina Demner-Fushman 28 18 0 21 Oct 2022
Readability Controllable Biomedical Document Summarization Zheheng Luo Qianqian Xie Sophia Ananiadou 42 36 0 10 Oct 2022
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations Longxiang Zhang Renato M. P. Negrinho Arindam Ghosh V. Jagannathan H. Hassanzadeh Thomas Schaaf Matthew R. Gormley LM&MA AI4MH 82 67 0 24 Sep 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization Bharath Chintagunta Namit Katariya X. Amatriain Anitha Kannan LM&MA MedIm 131 149 0 09 Sep 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 305 0 27 Apr 2021