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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
Attacking c-MARL More Effectively: A Data Driven Approach
Attacking c-MARL More Effectively: A Data Driven ApproachIndustrial Conference on Data Mining (IDM), 2022
Nhan H. Pham
Lam M. Nguyen
Jie Chen
Hoang Thanh Lam
Subhro Das
Tsui-Wei Weng
AAML
274
3
0
07 Feb 2022
Red Teaming Language Models with Language Models
Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ethan Perez
Saffron Huang
Francis Song
Trevor Cai
Roman Ring
John Aslanides
Amelia Glaese
Nat McAleese
G. Irving
AAML
448
862
0
07 Feb 2022
Transformers and the representation of biomedical background knowledge
Transformers and the representation of biomedical background knowledgeInternational Conference on Computational Logic (ICCL), 2022
Oskar Wysocki
Zili Zhou
Paul O'Regan
D. Ferreira
Magdalena Wysocka
Dónal Landers
Idiap Research Institute
MedIm
384
17
0
04 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk
POTATO: exPlainable infOrmation exTrAcTion framewOrkInternational Conference on Information and Knowledge Management (CIKM), 2022
Adam Kovacs
Kinga Gémes
Eszter Iklódi
Gábor Recski
316
5
0
31 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
632
250
0
16 Jan 2022
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
Alon Talmor
Ori Yoran
Ronan Le Bras
Chandrasekhar Bhagavatula
Yoav Goldberg
Yejin Choi
Jonathan Berant
ELM
293
167
0
14 Jan 2022
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer
  Explanation
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer ExplanationIEEE International Conference on Data Engineering (ICDE), 2022
Yuyan Chen
Yanghua Xiao
Bang Liu
239
20
0
13 Jan 2022
Diagnosing BERT with Retrieval Heuristics
Diagnosing BERT with Retrieval HeuristicsEuropean Conference on Information Retrieval (ECIR), 2020
A. Câmara
C. Hauff
165
36
0
12 Jan 2022
Data-driven Model Generalizability in Crosslinguistic Low-resource
  Morphological Segmentation
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological SegmentationTransactions of the Association for Computational Linguistics (TACL), 2022
Zoey Liu
Emily Tucker Prudhommeaux
296
9
0
05 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future DirectionsIEEE Access (IEEE Access), 2022
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
232
75
0
03 Jan 2022
Actor-Critic Network for Q&A in an Adversarial Environment
Actor-Critic Network for Q&A in an Adversarial Environment
Bejan Sadeghian
AAML
102
0
0
03 Jan 2022
A General Framework for Evaluating Robustness of Combinatorial
  Optimization Solvers on Graphs
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu
Zenan Li
Runzhong Wang
Qibing Ren
Junchi Yan
Yunbo Wang
AAML
171
0
0
28 Dec 2021
Adversarial Attack for Asynchronous Event-based Data
Adversarial Attack for Asynchronous Event-based DataAAAI Conference on Artificial Intelligence (AAAI), 2021
Wooju Lee
Hyun Myung
AAML
201
9
0
27 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?Neural Information Processing Systems (NeurIPS), 2021
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILMAAML
169
73
0
22 Dec 2021
General Greedy De-bias Learning
General Greedy De-bias LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
471
17
0
20 Dec 2021
Unifying Model Explainability and Robustness for Joint Text
  Classification and Rationale Extraction
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2021
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
201
15
0
20 Dec 2021
Energy-bounded Learning for Robust Models of Code
Nghi D. Q. Bui
Yijun Yu
OODD
217
2
0
20 Dec 2021
Reasoning Chain Based Adversarial Attack for Multi-hop Question
  Answering
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
Jiayu Ding
Siyuan Wang
Qin Chen
Zhongyu Wei
AAMLOODLRM
130
4
0
17 Dec 2021
Models in the Loop: Aiding Crowdworkers with Generative Annotation
  Assistants
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
Max Bartolo
Tristan Thrush
Sebastian Riedel
Pontus Stenetorp
Robin Jia
Douwe Kiela
336
35
0
16 Dec 2021
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions
  for Evaluating the Robustness of Question Matching Models
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
Hongyu Zhu
Yan Chen
Jing Yang
Jing Liu
Yu Hong
Ying-Cong Chen
Hua Wu
Haifeng Wang
AAML
180
6
0
16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
532
158
0
15 Dec 2021
VALSE: A Task-Independent Benchmark for Vision and Language Models
  Centered on Linguistic Phenomena
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
Letitia Parcalabescu
Michele Cafagna
Lilitta Muradjan
Anette Frank
Iacer Calixto
Albert Gatt
CoGe
301
135
0
14 Dec 2021
The King is Naked: on the Notion of Robustness for Natural Language
  Processing
The King is Naked: on the Notion of Robustness for Natural Language Processing
Emanuele La Malfa
Marta Z. Kwiatkowska
303
31
0
13 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input
  Spaces
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov
Evgenii Nikishin
S. Thakoor
Tingfung Lau
Stefano Ermon
AAML
146
1
0
12 Dec 2021
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Quantifying Adaptability in Pre-trained Language Models with 500 TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Belinda Z. Li
Jane A. Yu
Madian Khabsa
Luke Zettlemoyer
A. Halevy
Jacob Andreas
ELM
203
18
0
06 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
J. Zhang
Yue Zhang
416
95
0
06 Dec 2021
Attack-Centric Approach for Evaluating Transferability of Adversarial
  Samples in Machine Learning Models
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
Tochukwu Idika
Ismail Akturk
SILMAAML
91
2
0
03 Dec 2021
Enhanced countering adversarial attacks via input denoising and feature
  restoring
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li
Wenhui Zhang
Jiawei Liu
Xiaoli Kou
Hui Li
Jiangtao Cui
AAML
153
3
0
19 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods
A Review of Adversarial Attack and Defense for Classification Methods
Yao Li
Minhao Cheng
Cho-Jui Hsieh
T. C. Lee
AAML
198
89
0
18 Nov 2021
How to Build Robust FAQ Chatbot with Controllable Question Generator?
How to Build Robust FAQ Chatbot with Controllable Question Generator?
Yan Pan
Mingyang Ma
B. Pflugfelder
Georg Groh
AAML
140
3
0
18 Nov 2021
Improving the robustness and accuracy of biomedical language models
  through adversarial training
Improving the robustness and accuracy of biomedical language models through adversarial training
M. Moradi
Matthias Samwald
AAMLOODMedIm
177
14
0
16 Nov 2021
Variation and generality in encoding of syntactic anomaly information in
  sentence embeddings
Variation and generality in encoding of syntactic anomaly information in sentence embeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021
Qinxuan Wu
Allyson Ettinger
177
2
0
12 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language
  Evaluation
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
David Alfonso-Hermelo
Ahmad Rashid
Abbas Ghaddar
Huawei Noah’s
Mehdi Rezagholizadeh
233
2
0
09 Nov 2021
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
A. Narayan
Piero Molino
Karan Goel
Willie Neiswanger
Christopher Ré
170
11
0
08 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLMELMAAML
291
273
0
04 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
190
75
0
27 Oct 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
156
17
0
26 Oct 2021
Generating Watermarked Adversarial Texts
Generating Watermarked Adversarial Texts
Mingjie Li
Hanzhou Wu
Xinpeng Zhang
AAMLWaLM
172
1
0
25 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
220
4
0
20 Oct 2021
On the Robustness of Reading Comprehension Models to Entity Renaming
On the Robustness of Reading Comprehension Models to Entity Renaming
Jun Yan
Yang Xiao
Sagnik Mukherjee
Bill Yuchen Lin
Robin Jia
Xiang Ren
286
21
0
16 Oct 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP
  Systems Fail
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail
Sam Bowman
OffRL
362
48
0
15 Oct 2021
Generating Natural Language Adversarial Examples through An Improved
  Beam Search Algorithm
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm
Tengfei Zhao
Zhaocheng Ge
Han Hu
Di Shi
AAML
126
4
0
15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
369
77
0
14 Oct 2021
Retrieval-guided Counterfactual Generation for QA
Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape
Matthew Lamm
Ian Tenney
293
37
0
14 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models?
Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye
Greg Durrett
FAtt
229
28
0
14 Oct 2021
Semantically Distributed Robust Optimization for Vision-and-Language
  Inference
Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale
A. Chaudhary
Pratyay Banerjee
Chitta Baral
Yezhou Yang
298
17
0
14 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text
  Style Transfer
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Fanchao Qi
Yangyi Chen
Xurui Zhang
Mukai Li
Zhiyuan Liu
Maosong Sun
AAMLSILM
352
225
0
14 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
476
21
0
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Improving the Robustness to Variations of Objects and Instructions with
  a Neuro-Symbolic Approach for Interactive Instruction Following
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
Kazutoshi Shinoda
Yuki Takezawa
Masahiro Suzuki
Yusuke Iwasawa
Y. Matsuo
146
2
0
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SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue
  Systems
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Harrison Lee
Raghav Gupta
Abhinav Rastogi
Yuan Cao
Bin Zhang
Yonghui Wu
255
37
0
13 Oct 2021
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