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Adversarial Examples for Evaluating Reading Comprehension Systems

Adversarial Examples for Evaluating Reading Comprehension Systems

23 July 2017
Robin Jia
Percy Liang
    AAML
    ELM
ArXivPDFHTML

Papers citing "Adversarial Examples for Evaluating Reading Comprehension Systems"

50 / 890 papers shown
Title
CharBERT: Character-aware Pre-trained Language Model
CharBERT: Character-aware Pre-trained Language Model
Wentao Ma
Yiming Cui
Chenglei Si
Ting Liu
Shijin Wang
Guoping Hu
31
104
0
03 Nov 2020
Adversarial Examples in Constrained Domains
Adversarial Examples in Constrained Domains
Ryan Sheatsley
Nicolas Papernot
Mike Weisman
Gunjan Verma
Patrick McDaniel
AAML
18
23
0
02 Nov 2020
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
  Reasoning Steps
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
RALM
LRM
14
384
0
02 Nov 2020
Leveraging Extracted Model Adversaries for Improved Black Box Attacks
Leveraging Extracted Model Adversaries for Improved Black Box Attacks
Naveen Jafer Nizar
Ari Kobren
MIACV
9
0
0
30 Oct 2020
Commonsense knowledge adversarial dataset that challenges ELECTRA
Commonsense knowledge adversarial dataset that challenges ELECTRA
Gongqi Lin
Yuan Miao
Xiaoyong Yang
Wenwu Ou
Li-zhen Cui
Wenting Guo
Chunyan Miao
AAML
15
3
0
25 Oct 2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State
  Trackers
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Shiyang Li
Semih Yavuz
Kazuma Hashimoto
Jia Li
Tong Niu
Nazneen Rajani
Xifeng Yan
Yingbo Zhou
Caiming Xiong
44
62
0
24 Oct 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
183
46
0
24 Oct 2020
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
248
31
0
23 Oct 2020
Concealed Data Poisoning Attacks on NLP Models
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace
Tony Zhao
Shi Feng
Sameer Singh
SILM
19
18
0
23 Oct 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
27
13
0
23 Oct 2020
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open
  Domain Question Answering
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
Srini Iyer
Sewon Min
Yashar Mehdad
Wen-tau Yih
LRM
192
14
0
21 Oct 2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences
ConjNLI: Natural Language Inference Over Conjunctive Sentences
Swarnadeep Saha
Yixin Nie
Joey Tianyi Zhou
17
35
0
20 Oct 2020
Towards Interpreting BERT for Reading Comprehension Based QA
Towards Interpreting BERT for Reading Comprehension Based QA
Sahana Ramnath
Preksha Nema
Deep Sahni
Mitesh M. Khapra
42
30
0
18 Oct 2020
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Mischief: A Simple Black-Box Attack Against Transformer Architectures
Adrian de Wynter
AAML
42
1
0
16 Oct 2020
Geometry matters: Exploring language examples at the decision boundary
Geometry matters: Exploring language examples at the decision boundary
Debajyoti Datta
Shashwat Kumar
Laura E. Barnes
Tom Fletcher
AAML
20
3
0
14 Oct 2020
Interpreting Attention Models with Human Visual Attention in Machine
  Reading Comprehension
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
Ekta Sood
Simon Tannert
Diego Frassinelli
Andreas Bulling
Ngoc Thang Vu
HAI
32
54
0
13 Oct 2020
A Wrong Answer or a Wrong Question? An Intricate Relationship between
  Question Reformulation and Answer Selection in Conversational Question
  Answering
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
Svitlana Vakulenko
Shayne Longpre
Zhucheng Tu
R. Anantha
16
12
0
13 Oct 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models
Measuring and Reducing Gendered Correlations in Pre-trained Models
Kellie Webster
Xuezhi Wang
Ian Tenney
Alex Beutel
Emily Pitler
Ellie Pavlick
Jilin Chen
Ed Chi
Slav Petrov
FaML
18
249
0
12 Oct 2020
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Steffen Eger
Yannik Benz
AAML
21
45
0
12 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question
  Answering
Counterfactual Variable Control for Robust and Interpretable Question Answering
S. Yu
Yulei Niu
Shuohang Wang
Jing Jiang
Qianru Sun
AAML
OOD
44
9
0
12 Oct 2020
Gradient-based Analysis of NLP Models is Manipulable
Gradient-based Analysis of NLP Models is Manipulable
Junlin Wang
Jens Tuyls
Eric Wallace
Sameer Singh
AAML
FAtt
25
58
0
12 Oct 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for
  Linguistic Generalizations (Eventually)
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
37
21
0
11 Oct 2020
What Can We Do to Improve Peer Review in NLP?
What Can We Do to Improve Peer Review in NLP?
Anna Rogers
Isabelle Augenstein
27
49
0
08 Oct 2020
MOCHA: A Dataset for Training and Evaluating Generative Reading
  Comprehension Metrics
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Anthony Chen
Gabriel Stanovsky
Sameer Singh
Matt Gardner
19
50
0
07 Oct 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Mingzhu Wu
N. Moosavi
Andreas Rucklé
Iryna Gurevych
AI4CE
21
17
0
07 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial
  Examples
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Yael Mathov
Eden Levy
Ziv Katzir
A. Shabtai
Yuval Elovici
AAML
28
14
0
07 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially
  Regularized Autoencoder
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan
Yi Tay
Yew-Soon Ong
Aston Zhang
SILM
23
56
0
06 Oct 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial
  Text Generation
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Tianlu Wang
Xuezhi Wang
Yao Qin
Ben Packer
Kang Li
Jilin Chen
Alex Beutel
Ed H. Chi
SILM
35
82
0
05 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information
  Theoretic Perspective
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Bo-wen Li
Jingjing Liu
AAML
46
113
0
05 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data
Explaining The Efficacy of Counterfactually Augmented Data
Divyansh Kaushik
Amrith Rajagopal Setlur
Eduard H. Hovy
Zachary Chase Lipton
CML
28
81
0
05 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng
Varun Gangal
Dongyeop Kang
Teruko Mitamura
Eduard H. Hovy
16
73
0
05 Oct 2020
Adversarial Attack and Defense of Structured Prediction Models
Adversarial Attack and Defense of Structured Prediction Models
Wenjuan Han
Liwen Zhang
Yong-jia Jiang
Kewei Tu
AAML
12
37
0
04 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAI
FAtt
33
26
0
04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial
  Examples
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
Zhao Meng
Roger Wattenhofer
GAN
AAML
35
32
0
03 Oct 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDL
AI4TS
43
35
0
01 Oct 2020
Assessing Robustness of Text Classification through Maximal Safe Radius
  Computation
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
Emanuele La Malfa
Min Wu
Luca Laurenti
Benjie Wang
Anthony Hartshorn
Marta Z. Kwiatkowska
AAML
20
18
0
01 Oct 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Kawin Ethayarajh
Dan Jurafsky
ELM
24
51
0
29 Sep 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated
  Gradients
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Yifei Huang
Yaodong Yu
Hongyang R. Zhang
Yi Ma
Yuan Yao
AAML
37
26
0
28 Sep 2020
Differentially Private Adversarial Robustness Through Randomized
  Perturbations
Differentially Private Adversarial Robustness Through Randomized Perturbations
Nan Xu
Oluwaseyi Feyisetan
Abhinav Aggarwal
Zekun Xu
Nathanael Teissier
AAML
OOD
6
3
0
27 Sep 2020
Towards Debiasing NLU Models from Unknown Biases
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
19
154
0
25 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
46
429
0
22 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled
  Representations
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu
Xiaoya Li
Xiang Ao
Yuxian Meng
Fei Wu
Jiwei Li
OOD
DRL
16
11
0
21 Sep 2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world
  Situations
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang
Bairu Hou
Fanchao Qi
Zhiyuan Liu
Xiaojun Meng
Maosong Sun
22
11
0
19 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Guoyang Zeng
Fanchao Qi
Qianrui Zhou
Ting Zhang
Zixian Ma
Bairu Hou
Yuan Zang
Zhiyuan Liu
Maosong Sun
AAML
29
118
0
19 Sep 2020
Contextualized Perturbation for Textual Adversarial Attack
Contextualized Perturbation for Textual Adversarial Attack
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
AAML
SILM
21
229
0
16 Sep 2020
Systematic Generalization on gSCAN with Language Conditioned Embedding
Systematic Generalization on gSCAN with Language Conditioned Embedding
Tong Gao
Qi Huang
Raymond J. Mooney
24
22
0
11 Sep 2020
A black-box adversarial attack for poisoning clustering
A black-box adversarial attack for poisoning clustering
Antonio Emanuele Cinà
Alessandro Torcinovich
Marcello Pelillo
AAML
24
40
0
09 Sep 2020
SRQA: Synthetic Reader for Factoid Question Answering
SRQA: Synthetic Reader for Factoid Question Answering
Jiuniu Wang
Wenjia Xu
Xingyu Fu
Yang Wei
Li Jin
Ziyan Chen
Guangluan Xu
Yirong Wu
RALM
22
7
0
02 Sep 2020
Rethinking the Objectives of Extractive Question Answering
Rethinking the Objectives of Extractive Question Answering
Martin Fajcik
Josef Jon
Pavel Smrz
15
12
0
28 Aug 2020
Neural Generation Meets Real People: Towards Emotionally Engaging
  Mixed-Initiative Conversations
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
Ashwin Paranjape
A. See
Kathleen Kenealy
Haojun Li
Amelia Hardy
Peng Qi
Kaushik Ram Sadagopan
Nguyet Minh Phu
Dilara Soylu
Christopher D. Manning
33
42
0
27 Aug 2020
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