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2005.11739
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Adversarial NLI for Factual Correctness in Text Summarisation Models
24 May 2020
Mario Barrantes
Benedikt Herudek
Richard Wang
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Papers citing
"Adversarial NLI for Factual Correctness in Text Summarisation Models"
27 / 27 papers shown
Title
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
51
201
0
30 Apr 2020
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
198
2,041
0
16 Apr 2020
Learning by Semantic Similarity Makes Abstractive Summarization Better
Wonjin Yoon
Yoonsun Yeo
Minbyul Jeong
Bong-Jun Yi
Jaewoo Kang
101
16
0
18 Feb 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
232
2,044
0
18 Dec 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
101
1,003
0
31 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
91
742
0
28 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
176
7,465
0
02 Oct 2019
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Chen
Linlin Li
F. Wang
Qun Liu
VLM
78
1,855
0
23 Sep 2019
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
72
365
0
23 Aug 2019
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
417
1,445
0
22 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
483
24,334
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
204
8,412
0
19 Jun 2019
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
ViT
74
577
0
12 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
196
1,592
0
11 Jun 2019
Are Sixteen Heads Really Better than One?
Paul Michel
Omer Levy
Graham Neubig
MoE
95
1,058
0
25 May 2019
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
106
1,317
0
26 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,479
0
11 Oct 2018
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen
Joey Tianyi Zhou
BDL
135
583
0
28 May 2018
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
48
135
0
28 May 2018
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
227
579
0
02 May 2018
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
119
1,175
0
06 Mar 2018
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
103
3,937
0
06 Feb 2018
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu
Mohammad Saleh
Etienne Pot
Ben Goodrich
Ryan Sepassi
Lukasz Kaiser
Noam M. Shazeer
CVBM
152
796
0
30 Jan 2018
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Ziqiang Cao
Furu Wei
Wenjie Li
Sujian Li
HILM
74
371
0
13 Nov 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
469
4,466
0
18 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
364
3,775
0
28 Feb 2017
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
261
4,278
0
21 Aug 2015
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