FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual
Robustness

FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness

1 November 2022

Sujian Li

Papers citing "FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness"

6 / 6 papers shown

Title
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Sujian Li Yajuan Lv HILM 26 4 0 20 Dec 2022
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 254 285 0 02 Feb 2021
CTRLsum: Towards Generic Controllable Text Summarization Junxian He Wojciech Kry'sciñski Bryan McCann Nazneen Rajani Caiming Xiong 216 138 0 08 Dec 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,432 0 22 Aug 2019
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 175 3,510 0 10 Jun 2015