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Improving Factuality of Abstractive Summarization without Sacrificing
  Summary Quality

Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality

24 May 2023
Tanay Dixit
Fei Wang
Muhao Chen
    HILM
ArXivPDFHTML

Papers citing "Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality"

10 / 10 papers shown
Title
Detecting Response Generation Not Requiring Factual Judgment
Detecting Response Generation Not Requiring Factual Judgment
Ryohei Kamei
Daiki Shiono
Reina Akama
Jun Suzuki
HILM
32
0
0
14 Jun 2024
Assisting humans in complex comparisons: automated information
  comparison at scale
Assisting humans in complex comparisons: automated information comparison at scale
Truman Yuen
Graham A. Watt
Y. Lawryshyn
33
0
0
05 Apr 2024
From Instructions to Constraints: Language Model Alignment with
  Automatic Constraint Verification
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
Fei Wang
Chao Shang
Sarthak Jain
Shuai Wang
Qiang Ning
Bonan Min
Vittorio Castelli
Yassine Benajiba
Dan Roth
ALM
22
7
0
10 Mar 2024
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
37
76
0
13 Sep 2023
Correcting Diverse Factual Errors in Abstractive Summarization via
  Post-Editing and Language Model Infilling
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Vidhisha Balachandran
Hannaneh Hajishirzi
William W. Cohen
Yulia Tsvetkov
HILM
KELM
82
46
0
22 Oct 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
170
144
0
30 Aug 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization
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
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
167
159
0
17 Oct 2020
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,508
0
10 Jun 2015
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