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Adversarial attacks against Fact Extraction and VERification

Adversarial attacks against Fact Extraction and VERification

13 March 2019
James Thorne
Andreas Vlachos
    FedMLAAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial attacks against Fact Extraction and VERification"

28 / 28 papers shown
Title
aiXamine: Simplified LLM Safety and Security
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
276
0
0
21 Apr 2025
How Decoding Strategies Affect the Verifiability of Generated Text
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli
Fabio Petroni
Aleksandra Piktus
Myle Ott
Tim Rocktaschel
Vassilis Plachouras
Fabrizio Silvestri
Sebastian Riedel
101
50
0
09 Nov 2019
Team Papelo: Transformer Networks at FEVER
Team Papelo: Transformer Networks at FEVER
Christopher Malon
75
43
0
08 Jan 2019
The Fact Extraction and VERification (FEVER) Shared Task
The Fact Extraction and VERification (FEVER) Shared Task
James Thorne
Andreas Vlachos
O. Cocarascu
Christos Christodoulopoulos
Arpit Mittal
HILM
46
240
0
27 Nov 2018
Combining Fact Extraction and Verification with Neural Semantic Matching
  Networks
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie
Haonan Chen
Joey Tianyi Zhou
FedML
59
304
0
16 Nov 2018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski
Huatian Zhang
Zile Li
Daniil Sorokin
Benjamin Schiller
Claudia Schulz
Iryna Gurevych
77
183
0
03 Sep 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
109
718
0
16 Aug 2018
Automated Fact Checking: Task formulations, methods and future
  directions
Automated Fact Checking: Task formulations, methods and future directions
James Thorne
Andreas Vlachos
69
282
0
20 Jun 2018
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
75
379
0
02 Jun 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
234
579
0
02 May 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAMLGAN
341
719
0
17 Apr 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
86
1,282
0
20 Mar 2018
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
148
1,657
0
14 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
150
1,180
0
06 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
219
11,556
0
15 Feb 2018
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
111
743
0
06 Nov 2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared
  Task
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
Allyson Ettinger
Sudha Rao
Hal Daumé
Emily M. Bender
FedML
63
94
0
04 Nov 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
183
601
0
31 Oct 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAMLELM
201
1,608
0
23 Jul 2017
A Challenge Set Approach to Evaluating Machine Translation
A Challenge Set Approach to Evaluating Machine Translation
P. Isabelle
Colin Cherry
George F. Foster
ELMAAML
57
175
0
24 Apr 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,492
0
18 Apr 2017
Enhanced LSTM for Natural Language Inference
Enhanced LSTM for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
LRMReLM
101
1,130
0
20 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
289
8,160
0
16 Jun 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
343
1,375
0
06 Jun 2016
Adversarial Training Methods for Semi-Supervised Text Classification
Adversarial Training Methods for Semi-Supervised Text Classification
Takeru Miyato
Andrew M. Dai
Ian Goodfellow
GAN
75
1,061
0
25 May 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
321
4,287
0
21 Aug 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,066
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
277
14,927
1
21 Dec 2013
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