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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
VALUE: Understanding Dialect Disparity in NLU
VALUE: Understanding Dialect Disparity in NLU
Caleb Ziems
Jiaao Chen
Camille Harris
J. Anderson
Diyi Yang
ELM
44
41
0
06 Apr 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
27
39
0
24 Mar 2022
Leveraging Expert Guided Adversarial Augmentation For Improving
  Generalization in Named Entity Recognition
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
Aaron Reich
Jiaao Chen
Aastha Agrawal
Yanzhe Zhang
Diyi Yang
AAML
14
5
0
21 Mar 2022
Differentiable Reasoning over Long Stories -- Assessing Systematic
  Generalisation in Neural Models
Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models
Wanshui Li
Pasquale Minervini
OOD
19
1
0
20 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
52
29
0
15 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP
A Survey of Adversarial Defences and Robustness in NLP
Shreyansh Goyal
Sumanth Doddapaneni
Mitesh M.Khapra
B. Ravindran
AAML
34
30
0
12 Mar 2022
A Proposal to Study "Is High Quality Data All We Need?"
A Proposal to Study "Is High Quality Data All We Need?"
Swaroop Mishra
Anjana Arunkumar
20
2
0
12 Mar 2022
Feeding What You Need by Understanding What You Learned
Feeding What You Need by Understanding What You Learned
Xiaoqiang Wang
Bang Liu
Fangli Xu
Bowei Long
Siliang Tang
Lingfei Wu
62
6
0
05 Mar 2022
Improving Lexical Embeddings for Robust Question Answering
Improving Lexical Embeddings for Robust Question Answering
Weiwen Xu
Bowei Zou
Wai Lam
A. Aw
OOD
AAML
21
1
0
28 Feb 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing?
  A Structured Review
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton
Aparna Nayak
Bojan Bozic
Luca Longo
NAI
29
57
0
24 Feb 2022
Using calibrator to improve robustness in Machine Reading Comprehension
Using calibrator to improve robustness in Machine Reading Comprehension
Jing Jin
Houfeng Wang
AAML
12
0
0
24 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples
Learning Representations Robust to Group Shifts and Adversarial Examples
Ming-Chang Chiu
Xuezhe Ma
OOD
11
0
0
18 Feb 2022
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Y. Du
Antoine Bosselut
Christopher D. Manning
AAML
OffRL
16
31
0
18 Feb 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Yasaman Razeghi
Robert L Logan IV
Matt Gardner
Sameer Singh
ReLM
LRM
27
150
0
15 Feb 2022
Attacking c-MARL More Effectively: A Data Driven Approach
Attacking c-MARL More Effectively: A Data Driven Approach
Nhan H. Pham
Lam M. Nguyen
Jie Chen
Hoang Thanh Lam
Subhro Das
Tsui-Wei Weng
AAML
30
2
0
07 Feb 2022
Red Teaming Language Models with Language Models
Red Teaming Language Models with Language Models
Ethan Perez
Saffron Huang
Francis Song
Trevor Cai
Roman Ring
John Aslanides
Amelia Glaese
Nat McAleese
G. Irving
AAML
13
609
0
07 Feb 2022
Transformers and the representation of biomedical background knowledge
Transformers and the representation of biomedical background knowledge
Oskar Wysocki
Zili Zhou
Paul O'Regan
D. Ferreira
Magdalena Wysocka
Dónal Landers
Idiap Research Institute
MedIm
18
14
0
04 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk
POTATO: exPlainable infOrmation exTrAcTion framewOrk
Adam Kovacs
Kinga Gémes
Eszter Iklódi
Gábor Recski
32
4
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 Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
58
211
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
19
141
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 Explanation
Yuyan Chen
Yanghua Xiao
Bang Liu
12
16
0
13 Jan 2022
Diagnosing BERT with Retrieval Heuristics
Diagnosing BERT with Retrieval Heuristics
A. Câmara
C. Hauff
20
33
0
12 Jan 2022
Data-driven Model Generalizability in Crosslinguistic Low-resource
  Morphological Segmentation
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Zoey Liu
Emily Tucker Prudhommeaux
43
4
0
05 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
29
57
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
19
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
Xiaokang Yang
AAML
26
0
0
28 Dec 2021
Adversarial Attack for Asynchronous Event-based Data
Adversarial Attack for Asynchronous Event-based Data
Wooju Lee
Hyun Myung
AAML
22
8
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?
Xinhsuai Dong
Anh Tuan Luu
Min-Bin Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
20
55
0
22 Dec 2021
General Greedy De-bias Learning
General Greedy De-bias Learning
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
11
7
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 Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
22
12
0
20 Dec 2021
Energy-bounded Learning for Robust Models of Code
Nghi D. Q. Bui
Yijun Yu
OODD
40
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
AAML
OOD
LRM
10
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
24
33
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 Chen
Hua-Hong Wu
Haifeng Wang
AAML
25
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
139
130
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
23
109
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
20
28
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
19
1
0
12 Dec 2021
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Belinda Z. Li
Jane A. Yu
Madian Khabsa
Luke Zettlemoyer
A. Halevy
Jacob Andreas
ELM
22
16
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
Jing Zhang
Yue Zhang
174
86
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
SILM
AAML
20
0
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
25
2
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
25
66
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
17
2
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
AAML
OOD
MedIm
42
10
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 embeddings
Qinxuan Wu
Allyson Ettinger
23
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
29
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
W. Neiswanger
Christopher Ré
22
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
VLM
ELM
AAML
24
214
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
24
71
0
27 Oct 2021
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