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2211.00294
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FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness
1 November 2022
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Ziqiang Cao
Sujian Li
Hua-Hong Wu
HILM
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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
228
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
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