APPLS: Evaluating Evaluation Metrics for Plain Language Summarization

23 May 2023

Papers citing "APPLS: Evaluating Evaluation Metrics for Plain Language Summarization"

8 / 8 papers shown

Title
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences Jun Hou Lucy Lu Wang 34 0 0 27 Feb 2025
Generating Summaries with Controllable Readability Levels Leonardo F. R. Ribeiro Mohit Bansal Markus Dreyer 31 19 0 16 Oct 2023
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations Lucy Lu Wang Yulia Otmakhova Jay DeYoung Thinh Hung Truong Bailey Kuehl Erin Bransom Byron C. Wallace 89 19 0 23 May 2023
Retrieval augmentation of large language models for lay language generation Yue Guo Wei Qiu Gondy Leroy Sheng Wang T. Cohen RALM LRM 26 32 0 07 Nov 2022
A Dataset for Plain Language Adaptation of Biomedical Abstracts Kush Attal Brian D. Ondov Dina Demner-Fushman 15 9 0 21 Oct 2022
Perturbation CheckLists for Evaluating NLG Evaluation Metrics Ananya B. Sai Tanay Dixit D. Y. Sheth S. Mohan Mitesh M. Khapra AAML 85 55 0 13 Sep 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 213 265 0 27 Apr 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization Saadia Gabriel Asli Celikyilmaz Rahul Jha Yejin Choi Jianfeng Gao HILM 216 96 0 24 Oct 2020