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Adversarial Examples for Evaluating Reading Comprehension Systems

Adversarial Examples for Evaluating Reading Comprehension Systems

23 July 2017
Robin Jia
Abigail Z. Jacobs
    AAMLELM
ArXiv (abs)PDFHTML

Papers citing "Adversarial Examples for Evaluating Reading Comprehension Systems"

50 / 926 papers shown
Exploring the Robustness of NMT Systems to Nonsensical Inputs
Exploring the Robustness of NMT Systems to Nonsensical Inputs
Akshay Chaturvedi
K. Abijith
Utpal Garain
AAML
167
12
0
03 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information MaximizationInternational Conference on Learning Representations (ICLR), 2019
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
751
971
0
31 Jul 2019
Introduction to Neural Network based Approaches for Question Answering
  over Knowledge Graphs
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
Nilesh Chakraborty
Denis Lukovnikov
Gaurav Maheshwari
Priyansh Trivedi
Jens Lehmann
Asja Fischer
GNNLMTD
144
56
0
22 Jul 2019
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine TranslationInternational Conference on Software Engineering (ICSE), 2019
Pinjia He
Clara Meister
Z. Su
251
115
0
19 Jul 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language ArgumentsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Timothy Niven
Hung-Yu kao
AAML
352
481
0
17 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
254
97
0
09 Jul 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State MachineNeural Information Processing Systems (NeurIPS), 2019
Drew A. Hudson
Christopher D. Manning
NAIOCL
479
279
0
09 Jul 2019
Neural Machine Reading Comprehension: Methods and Trends
Neural Machine Reading Comprehension: Methods and TrendsApplications of Surface Science (Appl. Surf. Sci.), 2019
Kaixuan Li
Xiujuan Xian
Sheng Zhang
Jiafu Wang
N. Yu
FaML
288
13
0
02 Jul 2019
Machine Reading Comprehension: a Literature Review
Machine Reading Comprehension: a Literature Review
Xin Zhang
An Yang
Sujian Li
Yizhong Wang
168
32
0
30 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification
Incorporating Priors with Feature Attribution on Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Frederick Liu
Besim Avci
FAttFaML
304
126
0
19 Jun 2019
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and
  Model Development for Multi-Hop QA
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QAAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yichen Jiang
Joey Tianyi Zhou
AAMLLRM
185
106
0
17 Jun 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Learning to Ask Unanswerable Questions for Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Haichao Zhu
Li Dong
Furu Wei
Wenhui Wang
Bing Qin
Ting Liu
RALM
183
33
0
14 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Zhengxiao Du
Chang Zhou
Ming Ding
Hongxia Yang
Jie Tang
ReLMLRM
122
24
0
13 Jun 2019
Unsupervised Question Answering by Cloze Translation
Unsupervised Question Answering by Cloze TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Patrick Lewis
Ludovic Denoyer
Sebastian Riedel
153
141
0
12 Jun 2019
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading
  Comprehension
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
RALM
162
64
0
11 Jun 2019
A Survey on Neural Machine Reading Comprehension
A Survey on Neural Machine Reading Comprehension
Boyu Qiu
Xu Chen
Jungang Xu
Yingfei Sun
FaMLAIMat
157
32
0
10 Jun 2019
Question Answering as Global Reasoning over Semantic Abstractions
Question Answering as Global Reasoning over Semantic AbstractionsAAAI Conference on Artificial Intelligence (AAAI), 2018
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
Dan Roth
163
82
0
09 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max OptimizationNeural Information Processing Systems (NeurIPS), 2019
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
367
43
0
09 Jun 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Robust Neural Machine Translation with Doubly Adversarial InputsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yong Cheng
Lu Jiang
Wolfgang Macherey
AAML
235
267
0
06 Jun 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in
  Reading Comprehension
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Alon Talmor
Jonathan Berant
220
175
0
31 May 2019
A Lightweight Recurrent Network for Sequence Modeling
A Lightweight Recurrent Network for Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Biao Zhang
Rico Sennrich
162
8
0
30 May 2019
Interpretable Adversarial Training for Text
Interpretable Adversarial Training for Text
Samuel Barham
Soheil Feizi
AAML
116
20
0
30 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way ForwardIEEE Communications Surveys and Tutorials (COMST), 2019
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
220
211
0
29 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2019
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Abigail Z. Jacobs
Vijay S. Pande
J. Leskovec
SSLAI4CE
417
1,648
0
29 May 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
483
340
0
27 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
679
2,046
0
24 May 2019
HellaSwag: Can a Machine Really Finish Your Sentence?
HellaSwag: Can a Machine Really Finish Your Sentence?Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Rowan Zellers
Ari Holtzman
Yonatan Bisk
Ali Farhadi
Yejin Choi
638
3,460
0
19 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural NetworksInternational Conference on Machine Learning (ICML), 2019
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
125
83
0
17 May 2019
Misleading Failures of Partial-input Baselines
Misleading Failures of Partial-input Baselines
Shi Feng
Eric Wallace
Jordan L. Boyd-Graber
219
0
0
14 May 2019
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Cognitive Graph for Multi-Hop Reading Comprehension at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Ming Ding
Chang Zhou
Qibin Chen
Hongxia Yang
Jie Tang
230
237
0
14 May 2019
The relational processing limits of classic and contemporary neural
  network models of language processing
The relational processing limits of classic and contemporary neural network models of language processingLanguage, Cognition and Neuroscience (LCN), 2019
Guillermo Puebla
Andrea E. Martin
L. Doumas
91
10
0
12 May 2019
Adversarial Defense Framework for Graph Neural Network
Adversarial Defense Framework for Graph Neural Network
Shen Wang
Zhengzhang Chen
Jingchao Ni
Xiao Yu
Zhichun Li
Haifeng Chen
Philip S. Yu
AAMLGNN
151
30
0
09 May 2019
An Empirical Evaluation of Adversarial Robustness under Transfer
  Learning
An Empirical Evaluation of Adversarial Robustness under Transfer Learning
Todor Davchev
Timos Korres
Stathi Fotiadis
N. Antonopoulos
S. Ramamoorthy
AAML
262
0
0
07 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsNeural Information Processing Systems (NeurIPS), 2019
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
671
2,618
0
02 May 2019
Knowing When to Stop: Evaluation and Verification of Conformity to
  Output-size Specifications
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
Chenglong Wang
Rudy Bunel
Krishnamurthy Dvijotham
Po-Sen Huang
Edward Grefenstette
Pushmeet Kohli
117
5
0
26 Apr 2019
Quizbowl: The Case for Incremental Question Answering
Quizbowl: The Case for Incremental Question Answering
Pedro Rodriguez
Shi Feng
Mohit Iyyer
He He
Jordan L. Boyd-Graber
271
54
0
09 Apr 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu
Roy Schwartz
Noah A. Smith
AAML
356
110
0
04 Apr 2019
Frustratingly Poor Performance of Reading Comprehension Models on
  Non-adversarial Examples
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples
S. Parikh
Ananya B. Sai
Preksha Nema
Mitesh M. Khapra
AAML
115
0
0
04 Apr 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Yotam Gil
Yoav Chai
O. Gorodissky
Jonathan Berant
MLAUAAML
127
54
0
04 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
461
142
0
02 Apr 2019
PAWS: Paraphrase Adversaries from Word Scrambling
PAWS: Paraphrase Adversaries from Word Scrambling
Yuan Zhang
Jason Baldridge
Luheng He
272
574
0
01 Apr 2019
Linguistic generalization and compositionality in modern artificial
  neural networks
Linguistic generalization and compositionality in modern artificial neural networks
Marco Baroni
AI4CE
260
157
0
30 Mar 2019
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Zhang Tao
Xing Wu
Meng Lin
Jizhong Han
Songlin Hu
144
5
0
28 Mar 2019
Text Processing Like Humans Do: Visually Attacking and Shielding NLP
  Systems
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Steffen Eger
Gözde Gül Sahin
Andreas Rucklé
Ji-Ung Lee
Claudia Schulz
Mohsen Mesgar
Krishnkant Swarnkar
Edwin Simpson
Iryna Gurevych
AAML
251
185
0
27 Mar 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic
  Speech Recognition
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin
Nicholas Carlini
Ian Goodfellow
G. Cottrell
Colin Raffel
AAML
281
417
0
22 Mar 2019
Adversarial Attacks on Deep Neural Networks for Time Series
  Classification
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AAML
224
149
0
17 Mar 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence
  Models
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel
Xian Li
Graham Neubig
J. Pino
AAML
177
143
0
15 Mar 2019
Adversarial attacks against Fact Extraction and VERification
Adversarial attacks against Fact Extraction and VERification
James Thorne
Andreas Vlachos
FedMLAAML
244
26
0
13 Mar 2019
Semantics Preserving Adversarial Learning
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia
Elnaz Barshan
Reza Babanezhad
AAMLGAN
394
2
0
10 Mar 2019
Deep Learning for Cognitive Neuroscience
Deep Learning for Cognitive Neuroscience
Katherine R. Storrs
N. Kriegeskorte
NAIAI4CE
161
48
0
04 Mar 2019
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