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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
Pretrained Transformers Improve Out-of-Distribution Robustness
Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Dan Hendrycks
Xiaoyuan Liu
Eric Wallace
Adam Dziedzic
R. Krishnan
Basel Alomair
OOD
473
463
0
13 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual
  Generalization in Reading Comprehension
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading ComprehensionFindings (Findings), 2020
A. Maharana
Joey Tianyi Zhou
AAML
290
13
0
13 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial
  Examples
Frequency-Guided Word Substitutions for Detecting Textual Adversarial ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Maximilian Mozes
Pontus Stenetorp
Bennett Kleinberg
Lewis D. Griffin
AAML
272
121
0
13 Apr 2020
Overestimation of Syntactic Representationin Neural Language Models
Overestimation of Syntactic Representationin Neural Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Jordan Kodner
Nitish Gupta
151
13
0
10 Apr 2020
More Bang for Your Buck: Natural Perturbation for Robust Question
  Answering
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
AAMLOOD
157
4
0
09 Apr 2020
Translation Artifacts in Cross-lingual Transfer Learning
Translation Artifacts in Cross-lingual Transfer LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Mikel Artetxe
Gorka Labaka
Eneko Agirre
335
130
0
09 Apr 2020
BLEURT: Learning Robust Metrics for Text Generation
BLEURT: Learning Robust Metrics for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Thibault Sellam
Dipanjan Das
Ankur P. Parikh
645
1,750
0
09 Apr 2020
Towards Evaluating the Robustness of Chinese BERT Classifiers
Towards Evaluating the Robustness of Chinese BERT Classifiers
Wei Ping
Boyuan Pan
Xin Li
Yue Liu
AAML
166
9
0
07 Apr 2020
What do Models Learn from Question Answering Datasets?
What do Models Learn from Question Answering Datasets?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Priyanka Sen
Amir Saffari
RALMELM
289
78
0
07 Apr 2020
Improving the Robustness of QA Models to Challenge Sets with Variational
  Question-Answer Pair Generation
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
OOD
202
12
0
07 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
316
84
0
06 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Saku Sugawara
Pontus Stenetorp
Akiko Aizawa
244
2
0
04 Apr 2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Ran Wang
Kun Tao
Dingjie Song
Zhilong Zhang
Xiao Ma
Xiáo Su
Xinyu Dai
140
3
0
02 Apr 2020
Investigating Image Applications Based on Spatial-Frequency Transform
  and Deep Learning Techniques
Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques
Qinkai Zheng
Han Qiu
G. Memmi
Isabelle Bloch
145
0
0
20 Mar 2020
Topological Effects on Attacks Against Vertex Classification
Topological Effects on Attacks Against Vertex Classification
B. A. Miller
Mustafa Çamurcu
Alexander J. Gomez
Kevin S. Chan
Tina Eliassi-Rad
AAML
90
2
0
12 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
  Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical SystemsACM Asia Conference on Computer and Communications Security (AsiaCCS), 2020
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
325
60
0
12 Mar 2020
A Framework for Evaluation of Machine Reading Comprehension Gold
  Standards
A Framework for Evaluation of Machine Reading Comprehension Gold StandardsInternational Conference on Language Resources and Evaluation (LREC), 2020
Viktor Schlegel
Marco Valentino
André Freitas
Goran Nenadic
Riza Batista-Navarro
155
34
0
10 Mar 2020
Practical Annotation Strategies for Question Answering Datasets
Practical Annotation Strategies for Question Answering Datasets
Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
101
0
0
06 Mar 2020
Robust Unsupervised Neural Machine Translation with Adversarial
  Denoising Training
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training
Haipeng Sun
Rui Wang
Kehai Chen
Xugang Lu
Masao Utiyama
Eiichiro Sumita
Tiejun Zhao
129
4
0
28 Feb 2020
Unshuffling Data for Improved Generalization
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
250
82
0
27 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and AccuracyInternational Conference on Machine Learning (ICML), 2020
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Abigail Z. Jacobs
AAML
394
245
0
25 Feb 2020
Do Multi-Hop Question Answering Systems Know How to Answer the
  Single-Hop Sub-Questions?
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Yixuan Tang
Hwee Tou Ng
A. Tung
121
38
0
23 Feb 2020
Robustness Verification for Transformers
Robustness Verification for TransformersInternational Conference on Learning Representations (ICLR), 2020
Zhouxing Shi
Huan Zhang
Kai-Wei Chang
Shiyu Huang
Cho-Jui Hsieh
AAML
213
127
0
16 Feb 2020
Exploring Neural Models for Parsing Natural Language into First-Order
  Logic
Exploring Neural Models for Parsing Natural Language into First-Order Logic
Hrituraj Singh
Milan Aggarwal
Balaji Krishnamurthy
LRM
208
24
0
16 Feb 2020
Undersensitivity in Neural Reading Comprehension
Undersensitivity in Neural Reading ComprehensionFindings (Findings), 2020
Johannes Welbl
Pasquale Minervini
Max Bartolo
Pontus Stenetorp
Sebastian Riedel
AAML
142
19
0
15 Feb 2020
Stress Test Evaluation of Transformer-based Models in Natural Language
  Understanding Tasks
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding TasksInternational Conference on Language Resources and Evaluation (LREC), 2020
Carlos Aspillaga
Andrés Carvallo
Vladimir Araujo
ELM
169
33
0
14 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
G. Marcus
VLM
268
436
0
14 Feb 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset BiasesInternational Conference on Machine Learning (ICML), 2020
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
433
234
0
10 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading
  Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL), 2020
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
293
189
0
02 Feb 2020
Benchmarking Popular Classification Models' Robustness to Random and
  Targeted Corruptions
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Utkarsh Desai
Srikanth G. Tamilselvam
Jassimran Kaur
Senthil Mani
Shreya Khare
102
1
0
31 Jan 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in
  Brain-Computer Interface spellers
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellersNational Science Review (NSR), 2020
Xiao Zhang
Dongrui Wu
L. Ding
Hanbin Luo
Chin-Teng Lin
T. Jung
Ricardo Chavarriaga
AAML
219
61
0
30 Jan 2020
A Study of the Tasks and Models in Machine Reading Comprehension
A Study of the Tasks and Models in Machine Reading Comprehension
Chao Wang
LRM
203
1
0
23 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Humpty Dumpty: Controlling Word Meanings via Corpus PoisoningIEEE Symposium on Security and Privacy (S&P), 2020
R. Schuster
Tal Schuster
Yoav Meri
Vitaly Shmatikov
AAML
169
42
0
14 Jan 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition
  Case Study
Rethinking Generalization of Neural Models: A Named Entity Recognition Case StudyAAAI Conference on Artificial Intelligence (AAAI), 2020
Jinlan Fu
Pengfei Liu
Tao Gui
Xuanjing Huang
AI4CE
186
78
0
12 Jan 2020
A Survey on Machine Reading Comprehension Systems
A Survey on Machine Reading Comprehension SystemsNatural Language Engineering (NLE), 2020
Razieh Baradaran
Razieh Ghiasi
Hossein Amirkhani
FaML
360
98
0
06 Jan 2020
What Does My QA Model Know? Devising Controlled Probes using Expert
  Knowledge
What Does My QA Model Know? Devising Controlled Probes using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL), 2019
Kyle Richardson
Ashish Sabharwal
243
47
0
31 Dec 2019
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine
  Reading Comprehension
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Dheeru Dua
Ananth Gottumukkala
Alon Talmor
Sameer Singh
Matt Gardner
183
9
0
29 Dec 2019
T3: Tree-Autoencoder Constrained Adversarial Text Generation for
  Targeted Attack
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
Wei Ping
Hengzhi Pei
Boyuan Pan
Han Liu
Shuohang Wang
Yangqiu Song
AAML
166
6
0
22 Dec 2019
Hierarchical Character Embeddings: Learning Phonological and Semantic
  Representations in Languages of Logographic Origin using Recursive Neural
  Networks
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural NetworksIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2019
Minh Nguyen
G. Ngo
Nancy F. Chen
151
21
0
20 Dec 2019
SberQuAD -- Russian Reading Comprehension Dataset: Description and
  Analysis
SberQuAD -- Russian Reading Comprehension Dataset: Description and AnalysisConference and Labs of the Evaluation Forum (CLEF), 2019
Pavel Efimov
Andrey Chertok
Leonid Boytsov
Pavel Braslavski
282
64
0
20 Dec 2019
Identifying Adversarial Sentences by Analyzing Text Complexity
Identifying Adversarial Sentences by Analyzing Text Complexity
Hoang-Quoc Nguyen-Son
Tran Thao Phuong
Seira Hidano
S. Kiyomoto
DeLMOAAML
96
2
0
19 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric
  review
Research Frontiers in Transfer Learning -- a systematic and bibliometric review
Frederico Guth
Teofilo de Campos
131
0
0
18 Dec 2019
Curriculum Learning Strategies for IR: An Empirical Study on
  Conversation Response Ranking
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response RankingEuropean Conference on Information Retrieval (ECIR), 2019
Gustavo Penha
C. Hauff
169
24
0
18 Dec 2019
Extending Machine Language Models toward Human-Level Language
  Understanding
Extending Machine Language Models toward Human-Level Language Understanding
James L. McClelland
Felix Hill
Maja R. Rudolph
Jason Baldridge
Hinrich Schütze
LRM
159
36
0
12 Dec 2019
Neural Module Networks for Reasoning over Text
Neural Module Networks for Reasoning over TextInternational Conference on Learning Representations (ICLR), 2019
Nitish Gupta
Kevin Lin
Dan Roth
Sameer Singh
Matt Gardner
NAIReLMLRM
228
133
0
10 Dec 2019
Design and Interpretation of Universal Adversarial Patches in Face
  Detection
Design and Interpretation of Universal Adversarial Patches in Face DetectionEuropean Conference on Computer Vision (ECCV), 2019
Xiao Yang
Fangyun Wei
Hongyang R. Zhang
Jun Zhu
AAMLCVBM
348
43
0
30 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer
  Vision: A Survey
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A SurveyMachine Learning and Knowledge Extraction (MLKE), 2019
Vanessa Buhrmester
David Münch
Michael Arens
MLAUFaMLXAIAAML
341
421
0
27 Nov 2019
JEC-QA: A Legal-Domain Question Answering Dataset
JEC-QA: A Legal-Domain Question Answering DatasetAAAI Conference on Artificial Intelligence (AAAI), 2019
Haoxiang Zhong
Chaojun Xiao
Cunchao Tu
Tianyang Zhang
Zhiyuan Liu
Maosong Sun
ELMAILaw
247
191
0
27 Nov 2019
Conclusion-Supplement Answer Generation for Non-Factoid Questions
Conclusion-Supplement Answer Generation for Non-Factoid QuestionsAAAI Conference on Artificial Intelligence (AAAI), 2019
M. Nakatsuji
Sohei Okui
3DV
125
8
0
25 Nov 2019
Assessing the Benchmarking Capacity of Machine Reading Comprehension
  Datasets
Assessing the Benchmarking Capacity of Machine Reading Comprehension DatasetsAAAI Conference on Artificial Intelligence (AAAI), 2019
Saku Sugawara
Pontus Stenetorp
Kentaro Inui
Akiko Aizawa
194
92
0
21 Nov 2019
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