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1707.07328
Cited By
Adversarial Examples for Evaluating Reading Comprehension Systems
23 July 2017
Robin Jia
Abigail Z. Jacobs
AAML
ELM
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Papers citing
"Adversarial Examples for Evaluating Reading Comprehension Systems"
50 / 926 papers shown
Geometry matters: Exploring language examples at the decision boundary
Debajyoti Datta
Shashwat Kumar
Laura E. Barnes
Tom Fletcher
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211
3
0
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Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
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Simon Tannert
Diego Frassinelli
Andreas Bulling
Ngoc Thang Vu
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213
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Shayne Longpre
Zhucheng Tu
R. Anantha
178
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Kellie Webster
Xuezhi Wang
Ian Tenney
Alex Beutel
Emily Pitler
Ellie Pavlick
Jilin Chen
Ed Chi
Slav Petrov
FaML
530
296
0
12 Oct 2020
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Steffen Eger
Yannik Benz
AAML
222
55
0
12 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
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261
9
0
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Jens Tuyls
Eric Wallace
Sameer Singh
AAML
FAtt
176
62
0
12 Oct 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
Alex Warstadt
Yian Zhang
Haau-Sing Li
Haokun Liu
Samuel R. Bowman
SSL
AI4CE
207
26
0
11 Oct 2020
What Can We Do to Improve Peer Review in NLP?
Anna Rogers
Isabelle Augenstein
198
53
0
08 Oct 2020
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
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Gabriel Stanovsky
Sameer Singh
Matt Gardner
199
56
0
07 Oct 2020
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N. Moosavi
Andreas Rucklé
Iryna Gurevych
AI4CE
181
17
0
07 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Yael Mathov
Eden Levy
Ziv Katzir
A. Shabtai
Yuval Elovici
AAML
157
15
0
07 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan
Yi Tay
Yew-Soon Ong
Aston Zhang
SILM
173
60
0
06 Oct 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tianlu Wang
Xuezhi Wang
Yao Qin
Ben Packer
Kang Li
Jilin Chen
Alex Beutel
Ed H. Chi
SILM
203
94
0
05 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
International Conference on Learning Representations (ICLR), 2020
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Yue Liu
Jingjing Liu
AAML
556
130
0
05 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data
International Conference on Learning Representations (ICLR), 2020
Divyansh Kaushik
Amrith Rajagopal Setlur
Eduard H. Hovy
Zachary Chase Lipton
CML
442
87
0
05 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out (DEELIO), 2020
Steven Y. Feng
Varun Gangal
Luan Tuyen Chau
Teruko Mitamura
Eduard H. Hovy
252
76
0
05 Oct 2020
Adversarial Attack and Defense of Structured Prediction Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wenjuan Han
Liwen Zhang
Yong Jiang
Kewei Tu
AAML
285
43
0
04 Oct 2020
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Oana-Maria Camburu
XAI
FAtt
311
30
0
04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
International Conference on Computational Linguistics (COLING), 2020
Zhao Meng
Roger Wattenhofer
GAN
AAML
149
37
0
03 Oct 2020
Deep learning for time series classification
Hassan Ismail Fawaz
BDL
AI4TS
173
49
0
01 Oct 2020
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Emanuele La Malfa
Min Wu
Luca Laurenti
Benjie Wang
Anthony Hartshorn
Marta Z. Kwiatkowska
AAML
217
19
0
01 Oct 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Kawin Ethayarajh
Dan Jurafsky
ELM
365
58
0
29 Sep 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Mathematical and Scientific Machine Learning (MSML), 2020
Yifei Huang
Yaodong Yu
Hongyang R. Zhang
Yi-An Ma
Xingtai Lv
AAML
188
31
0
28 Sep 2020
Differentially Private Adversarial Robustness Through Randomized Perturbations
Nan Xu
Oluwaseyi Feyisetan
Abhinav Aggarwal
Zekun Xu
Nathanael Teissier
AAML
OOD
158
5
0
27 Sep 2020
Towards Debiasing NLU Models from Unknown Biases
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
430
165
0
25 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
432
526
0
22 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations
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Xiaoya Li
Xiang Ao
Yuxian Meng
Leilei Gan
Jiwei Li
OOD
DRL
158
14
0
21 Sep 2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang
Bairu Hou
Fanchao Qi
Zhiyuan Liu
Xiaojun Meng
Maosong Sun
120
12
0
19 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Guoyang Zeng
Fanchao Qi
Qianrui Zhou
Ting Zhang
Zixian Ma
Bairu Hou
Yuan Zang
Zhiyuan Liu
Maosong Sun
AAML
399
133
0
19 Sep 2020
Contextualized Perturbation for Textual Adversarial Attack
North American Chapter of the Association for Computational Linguistics (NAACL), 2020
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
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SILM
343
264
0
16 Sep 2020
Systematic Generalization on gSCAN with Language Conditioned Embedding
Tong Gao
Qi Huang
Raymond J. Mooney
235
22
0
11 Sep 2020
A black-box adversarial attack for poisoning clustering
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Antonio Emanuele Cinà
Alessandro Torcinovich
Marcello Pelillo
AAML
246
45
0
09 Sep 2020
SRQA: Synthetic Reader for Factoid Question Answering
Knowledge-Based Systems (KBS), 2020
Jiuniu Wang
Wenjia Xu
Xingyu Fu
Yang Wei
Li Jin
Ziyan Chen
Guangluan Xu
Yirong Wu
RALM
122
7
0
02 Sep 2020
Rethinking the Objectives of Extractive Question Answering
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Martin Fajcik
Josef Jon
Pavel Smrz
359
12
0
28 Aug 2020
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
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A. See
Kathleen Kenealy
Haojun Li
Amelia Hardy
Peng Qi
Kaushik Ram Sadagopan
Nguyet Minh Phu
Dilara Soylu
Christopher D. Manning
212
42
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27 Aug 2020
A Survey of Evaluation Metrics Used for NLG Systems
ACM Computing Surveys (ACM CSUR), 2020
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Akash Kumar Mohankumar
Mitesh M. Khapra
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446
289
0
27 Aug 2020
Discrete Word Embedding for Logical Natural Language Understanding
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Zilu Tang
167
3
0
26 Aug 2020
Model Robustness with Text Classification: Semantic-preserving adversarial attacks
Social Science Research Network (SSRN), 2020
Rahul Singh
Tarun Joshi
V. Nair
Agus Sudjianto
VLM
AAML
161
1
0
12 Aug 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
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356
210
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Word meaning in minds and machines
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G. Murphy
NAI
370
140
0
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On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Information and Software Technology (IST), 2020
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
373
104
0
31 Jul 2020
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Qiaozhu Mei
360
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A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges
Bin Fu
Yunqi Qiu
Chengguang Tang
Yang Li
Haiyang Yu
Jian Sun
377
103
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Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
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Ning Ding
Dingkun Long
Guangwei Xu
Muhua Zhu
Pengjun Xie
Xiaobin Wang
Haitao Zheng
175
18
0
16 Jul 2020
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components
Ken Alparslan
Yigit Can Alparslan
Matthew Burlick
AAML
137
9
0
14 Jul 2020
Our Evaluation Metric Needs an Update to Encourage Generalization
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
136
17
0
14 Jul 2020
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?
Workshop on Representation Learning for NLP (RepL4NLP), 2020
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Naman Jain
G. Jindal
Abhijeet Awasthi
Sunita Sarawagi
OOD
186
28
0
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Learning Reasoning Strategies in End-to-End Differentiable Proving
International Conference on Machine Learning (ICML), 2020
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
Edward Grefenstette
Tim Rocktaschel
LRM
353
99
0
13 Jul 2020
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
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Ting Yao
Tao Gui
Jingfang Xu
Xiaochuan Wang
RALM
179
23
0
22 Jun 2020
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