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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
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Transactions of the Association for Computational Linguistics (TACL), 2021
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
245
210
0
14 Jun 2021
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
Jatin Chauhan
Karan Bhukar
Manohar Kaul
AAML
109
1
0
13 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
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Prakhar Gupta
Yulia Tsvetkov
Jeffrey P. Bigham
194
25
0
10 Jun 2021
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Swaroop Mishra
Anjana Arunkumar
161
26
0
10 Jun 2021
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
Ziqing Yang
Yiming Cui
Chenglei Si
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
155
9
0
08 Jun 2021
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
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Aditya Gupta
Jiacheng Xu
Shyam Upadhyay
Diyi Yang
Manaal Faruqui
195
35
0
08 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs
Knowledge-Based Systems (KBS), 2021
Jiaren Xiao
Quanyu Dai
Xiaochen Xie
J. Lam
Ka-Wai Kwok
GNN
148
10
0
07 Jun 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering
Findings (Findings), 2021
Shujian Zhang
Chengyue Gong
Eunsol Choi
UQLM
254
62
0
02 Jun 2021
Why Machine Reading Comprehension Models Learn Shortcuts?
Findings (Findings), 2021
Yuxuan Lai
Chen Zhang
Yansong Feng
Quzhe Huang
Dongyan Zhao
SyDa
205
57
0
02 Jun 2021
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Findings (Findings), 2021
Shikhar Singh
Nuan Wen
Yu Hou
Pegah Alipoormolabashi
Te-Lin Wu
Xuezhe Ma
Nanyun Peng
LRM
243
64
0
02 Jun 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Chong Li
Ce Zhang
Xiaoqing Zheng
Xuanjing Huang
160
31
0
31 May 2021
On the Interplay Between Fine-tuning and Composition in Transformers
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Lang-Chi Yu
Allyson Ettinger
228
14
0
31 May 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Zhiyuan Zeng
Keqing He
Yuanmeng Yan
Zijun Liu
Yanan Wu
Hong Xu
Huixing Jiang
Weiran Xu
152
72
0
29 May 2021
Changing the World by Changing the Data
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Anna Rogers
224
77
0
28 May 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Jieyu Lin
Jiajie Zou
Nai Ding
AAML
233
52
0
24 May 2021
Adversarially robust change point detection
Neural Information Processing Systems (NeurIPS), 2021
Mengchu Li
Yi Yu
AAML
220
15
0
21 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Neural Information Processing Systems (NeurIPS), 2021
Zhiyi Ma
Kawin Ethayarajh
Tristan Thrush
Somya Jain
Ledell Yu Wu
Robin Jia
Christopher Potts
Adina Williams
Douwe Kiela
ELM
224
64
0
21 May 2021
Evaluating Gender Bias in Natural Language Inference
Shanya Sharma
Manan Dey
Koustuv Sinha
142
45
0
12 May 2021
Reconstructive Sequence-Graph Network for Video Summarization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Bin Zhao
Haopeng Li
Xiaoqiang Lu
Xuelong Li
245
131
0
10 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
International Conference on Computational Logic (ICCL), 2021
Jiehang Zeng
Xiaoqing Zheng
Jianhan Xu
Linyang Li
Liping Yuan
Xuanjing Huang
AAML
327
91
0
08 May 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Seanie Lee
Minki Kang
Juho Lee
Sung Ju Hwang
OOD
380
19
0
06 May 2021
Reliability Testing for Natural Language Processing Systems
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Samson Tan
Shafiq Joty
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
323
42
0
06 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Transactions of the Association for Computational Linguistics (TACL), 2021
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
428
89
0
30 Apr 2021
Sensitivity as a Complexity Measure for Sequence Classification Tasks
Transactions of the Association for Computational Linguistics (TACL), 2021
Michael Hahn
Dan Jurafsky
Richard Futrell
322
24
0
21 Apr 2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
Rahul Singh
Karan Jindal
Yufei Yu
Hanyu Yang
Tarun Joshi
Matthew A. Campbell
Wayne B. Shoumaker
168
2
0
20 Apr 2021
Generative Context Pair Selection for Multi-hop Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Dheeru Dua
Cicero Nogueira dos Santos
Patrick Ng
Ben Athiwaratkun
Bing Xiang
Matt Gardner
Sameer Singh
LRM
112
2
0
18 Apr 2021
Learning with Instance Bundles for Reading Comprehension
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Dheeru Dua
Pradeep Dasigi
Sameer Singh
Matt Gardner
155
11
0
18 Apr 2021
Can NLI Models Verify QA Systems' Predictions?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Jifan Chen
Eunsol Choi
Greg Durrett
296
58
0
18 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
936
182
0
18 Apr 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Max Bartolo
Tristan Thrush
Robin Jia
Sebastian Riedel
Pontus Stenetorp
Douwe Kiela
AAML
301
110
0
18 Apr 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
548
117
0
17 Apr 2021
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Qianchu Liu
Edoardo Ponti
Diana McCarthy
Ivan Vulić
Anna Korhonen
309
22
0
17 Apr 2021
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering
Sara Rosenthal
Mihaela A. Bornea
Avirup Sil
AAML
149
11
0
15 Apr 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Workshop on Representation Learning for NLP (RepL4NLP), 2021
Matteo Alleman
J. Mamou
Miguel Rio
Hanlin Tang
Yoon Kim
SueYeon Chung
NAI
204
18
0
15 Apr 2021
Consistency Training with Virtual Adversarial Discrete Perturbation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Jungsoo Park
Gyuwan Kim
Jaewoo Kang
165
15
0
15 Apr 2021
Regularization for Long Named Entity Recognition
Minbyul Jeong
Jaewoo Kang
181
4
0
15 Apr 2021
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
Sailik Sengupta
Jason Krone
Saab Mansour
NoLa
133
14
0
14 Apr 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Chong Zhang
Jieyu Zhao
Huan Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
168
13
0
12 Apr 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Simiao Zuo
Chen Liang
Haoming Jiang
Xiaodong Liu
Pengcheng He
Jianfeng Gao
Weizhu Chen
T. Zhao
242
10
0
11 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xi Ye
Rohan Nair
Greg Durrett
241
28
0
09 Apr 2021
Dynabench: Rethinking Benchmarking in NLP
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Douwe Kiela
Max Bartolo
Yixin Nie
Divyansh Kaushik
Atticus Geiger
...
Pontus Stenetorp
Robin Jia
Joey Tianyi Zhou
Christopher Potts
Adina Williams
386
465
0
07 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
IEEE International Conference on Computer Vision (ICCV), 2021
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
323
91
0
07 Apr 2021
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
Interspeech (Interspeech), 2021
Zhiyun Lu
Wei Han
Yu Zhang
Liangliang Cao
AAML
167
17
0
06 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Samuel R. Bowman
George E. Dahl
ELM
ALM
271
188
0
05 Apr 2021
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension
Damai Dai
Hua Zheng
Zhifang Sui
Baobao Chang
KELM
LRM
100
2
0
26 Mar 2021
Self-Supervised Test-Time Learning for Reading Comprehension
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Pratyay Banerjee
Tejas Gokhale
Chitta Baral
SSL
200
31
0
20 Mar 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Yonatan Bitton
Gabriel Stanovsky
Roy Schwartz
Michael Elhadad
CoGe
198
33
0
17 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Helen Zhou
285
117
0
11 Mar 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
International Conference on Machine Learning (ICML), 2021
Ethan Perez
Douwe Kiela
Dong Wang
202
25
0
05 Mar 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
AI Communications (AI Commun.), 2021
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
244
17
0
01 Mar 2021
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![Certified Robustness to Text Adversarial Attacks by Randomized [MASK]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMTA1LjAzNzQzL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
