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Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation
18 April 2024
Siya Qi
Yulan He
Zheng Yuan
LRM
HILM
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Papers citing
"Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation"
9 / 9 papers shown
Title
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
Shiyue Zhang
David Wan
Joey Tianyi Zhou
HILM
52
27
0
08 Sep 2022
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification
Yu Lu Liu
Rachel Bawden
Thomas Scaliom
Benoît Sagot
Jackie C.K. Cheung
33
4
0
24 May 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
319
11,953
0
04 Mar 2022
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Libo Qin
Tianbao Xie
Shijue Huang
Qiguang Chen
Xiao Xu
Wanxiang Che
55
20
0
23 Sep 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
178
145
0
30 Aug 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Nouha Dziri
Hannah Rashkin
Tal Linzen
David Reitter
ALM
195
79
0
30 Apr 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
133
105
0
30 Apr 2021
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
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
144
157
0
18 Feb 2021
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