Improving Summarization with Human Edits

9 October 2023

Papers citing "Improving Summarization with Human Edits"

9 / 9 papers shown

Title
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization Prakamya Mishra Zonghai Yao Shuwei Chen Beining Wang Rohan Mittal Hong-ye Yu KELM ALM HILM 20 7 0 30 Oct 2023
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing Hieu Tran Zhichao Yang Zonghai Yao Hong-ye Yu ALM LM&MA 24 23 0 30 Oct 2023
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization Griffin Adams Jason Zucker Noémie Elhadad 36 18 0 07 Mar 2023
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context Zonghai Yao Yi Cao Zhichao Yang Vijeta Deshpande Hong-ye Yu 108 20 0 26 Aug 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Can Language Models be Biomedical Knowledge Bases? Mujeen Sung Jinhyuk Lee Sean S. Yi Minji Jeon Sungdong Kim Jaewoo Kang AI4MH 108 105 0 15 Sep 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019