PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization

11 May 2023

Papers citing "PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization"

7 / 7 papers shown

Title
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond Haw-Shiuan Chang Zonghai Yao Alolika Gon Hong-ye Yu Andrew McCallum 43 10 0 20 May 2023
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 313 11,915 0 04 Mar 2022
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 222 305 0 27 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 142 157 0 18 Feb 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq R. Joty Dragomir R. Radev Yashar Mehdad 121 95 0 24 Oct 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 256 1,431 0 22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,254 0 14 Nov 2016