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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
Towards Building a Robust Toxicity Predictor
Towards Building a Robust Toxicity PredictorAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Dmitriy Bespalov
Sourav S. Bhabesh
Yi Xiang
Liutong Zhou
Yanjun Qi
AAML
299
24
0
09 Apr 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Roopkatha Dey
Aivy Debnath
Sayak Kumar Dutta
Kaustav Ghosh
Arijit Mitra
Arghya Roy Chowdhury
Jaydip Sen
AAMLSILM
210
3
0
08 Apr 2024
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD
  2.0
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0
Jiawei Li
Yue Zhang
VLM
130
2
0
04 Apr 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against
  Multi-Backdoors
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-BackdoorsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Victoria Graf
Qin Liu
Muhao Chen
AAML
227
12
0
02 Apr 2024
Evaluating Large Language Models Using Contrast Sets: An Experimental
  Approach
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
Manish Sanwal
60
6
0
02 Apr 2024
Cross-Lingual Transfer Robustness to Lower-Resource Languages on
  Adversarial Datasets
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
Shadi Manafi
Nikhil Krishnaswamy
AAML
223
2
0
29 Mar 2024
Robust and Scalable Model Editing for Large Language Models
Robust and Scalable Model Editing for Large Language Models
Yingfa Chen
Zhengyan Zhang
Xu Han
Chaojun Xiao
Zhiyuan Liu
Chen Chen
Kuai Li
Tao Yang
Maosong Sun
KELM
145
2
0
26 Mar 2024
ChatGPT Incorrectness Detection in Software Reviews
ChatGPT Incorrectness Detection in Software Reviews
M. Tanzil
Junaed Younus Khan
Gias Uddin
261
19
0
25 Mar 2024
Context Quality Matters in Training Fusion-in-Decoder for Extractive
  Open-Domain Question Answering
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
Kosuke Akimoto
Kunihiro Takeoka
Masafumi Oyamada
208
2
0
21 Mar 2024
Reversible Jump Attack to Textual Classifiers with Modification
  Reduction
Reversible Jump Attack to Textual Classifiers with Modification Reduction
Mingze Ni
Zhensu Sun
Wei Liu
AAML
168
0
0
21 Mar 2024
SSCAE -- Semantic, Syntactic, and Context-aware natural language
  Adversarial Examples generator
SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generatorIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
J. Asl
Mohammad H. Rafiei
Manar Alohaly
Daniel Takabi
AAMLSILM
177
5
0
18 Mar 2024
The Impact of Quantization on the Robustness of Transformer-based Text
  Classifiers
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
Seyed Parsa Neshaei
Yasaman Boreshban
Gholamreza Ghassem-Sani
Seyed Abolghasem Mirroshandel
MQ
208
1
0
08 Mar 2024
Should We Fear Large Language Models? A Structural Analysis of the Human
  Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens
  of Heidegger's Philosophy
Should We Fear Large Language Models? A Structural Analysis of the Human Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens of Heidegger's Philosophy
Jianqiiu Zhang
ELM
188
4
0
05 Mar 2024
Pointing out the Shortcomings of Relation Extraction Models with
  Semantically Motivated Adversarials
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
Gennaro Nolano
Moritz Blum
Basil Ell
Philipp Cimiano
203
3
0
29 Feb 2024
Adversarial Math Word Problem Generation
Adversarial Math Word Problem Generation
Roy Xie
Chengxuan Huang
Junlin Wang
Bhuwan Dhingra
AAML
314
3
0
27 Feb 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
Extreme Miscalibration and the Illusion of Adversarial Robustness
Vyas Raina
Samson Tan
Volkan Cevher
Aditya Rawal
Sheng Zha
George Karypis
AAML
329
4
0
27 Feb 2024
A Machine Learning Approach to Detect Customer Satisfaction From
  Multiple Tweet Parameters
A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters
Md Mahmudul Hasan
Dr. Shaikh Anowarul Fattah
55
0
0
25 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute
Fast Adversarial Attacks on Language Models In One GPU Minute
Vinu Sankar Sadasivan
Shoumik Saha
Gaurang Sriramanan
Priyatham Kattakinda
Atoosa Malemir Chegini
Soheil Feizi
MIALM
335
69
0
23 Feb 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of
  Subjective Tasks
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
257
0
0
22 Feb 2024
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human
  Adversaries
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries
Jing Han Sun
Ali Emami
275
6
0
20 Feb 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions
  Without the Question?
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
Nishant Balepur
Abhilasha Ravichander
Rachel Rudinger
ELM
330
58
0
19 Feb 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings
  for Robust Large Vision-Language Models
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann
Naman D. Singh
Francesco Croce
Matthias Hein
VLMAAML
386
86
0
19 Feb 2024
What Evidence Do Language Models Find Convincing?
What Evidence Do Language Models Find Convincing?
Alexander Wan
Eric Wallace
Dan Klein
526
58
0
19 Feb 2024
A Curious Case of Searching for the Correlation between Training Data
  and Adversarial Robustness of Transformer Textual Models
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
Cuong Dang
Dung D. Le
Thai Le
AAML
245
2
0
18 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of
  Conjugate Variables in System Attacks
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks
Jun-Jie Zhang
Deyu Meng
AAML
248
4
0
16 Feb 2024
Camouflage is all you need: Evaluating and Enhancing Language Model
  Robustness Against Camouflage Adversarial Attacks
Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks
Álvaro Huertas-García
Alejandro Martín
Javier Huertas-Tato
David Camacho
AAML
216
1
0
15 Feb 2024
Language-Based Augmentation to Address Shortcut Learning in Object Goal
  Navigation
Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation
Dennis Hoftijzer
Gertjan J. Burghouts
Luuk J. Spreeuwers
246
3
0
07 Feb 2024
Desiderata for the Context Use of Question Answering Systems
Desiderata for the Context Use of Question Answering Systems
Sagi Shaier
Lawrence E Hunter
Katharina von der Wense
349
6
0
31 Jan 2024
Improving QA Model Performance with Cartographic Inoculation
Improving QA Model Performance with Cartographic Inoculation
Allen Chen
Okan Tankirulu
AAML
328
1
0
30 Jan 2024
Robust Prompt Optimization for Defending Language Models Against
  Jailbreaking Attacks
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou
Bo Li
Haohan Wang
AAML
422
133
0
30 Jan 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MAVLM
480
49
0
27 Jan 2024
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing
  Approach For Uncovering Edge Cases with Minimal Distribution Distortion
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution DistortionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Aly M. Kassem
Sherif Saad
AAML
299
3
0
21 Jan 2024
How the Advent of Ubiquitous Large Language Models both Stymie and
  Turbocharge Dynamic Adversarial Question Generation
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
Yoo Yeon Sung
Ishani Mondal
Jordan L. Boyd-Graber
261
1
0
20 Jan 2024
A Critical Reflection on the Use of Toxicity Detection Algorithms in
  Proactive Content Moderation Systems
A Critical Reflection on the Use of Toxicity Detection Algorithms in Proactive Content Moderation Systems
Mark Warner
Angelika Strohmayer
Matthew Higgs
Lynne Coventry
274
11
0
19 Jan 2024
Power in Numbers: Robust reading comprehension by finetuning with four
  adversarial sentences per example
Power in Numbers: Robust reading comprehension by finetuning with four adversarial sentences per example
Ariel Marcus
AAML
83
0
0
18 Jan 2024
The Earth is Flat? Unveiling Factual Errors in Large Language Models
The Earth is Flat? Unveiling Factual Errors in Large Language Models
Wenxuan Wang
Juluan Shi
Zhaopeng Tu
Youliang Yuan
Shu Yang
Wenxiang Jiao
Michael R. Lyu
KELMHILMSyDa
218
4
0
01 Jan 2024
Machine Translation Testing via Syntactic Tree Pruning
Machine Translation Testing via Syntactic Tree PruningACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Quanjun Zhang
Juan Zhai
Chunrong Fang
Jiawei Liu
Weisong Sun
Haichuan Hu
Qingyu Wang
214
8
0
01 Jan 2024
From Text to Multimodal: A Comprehensive Survey of Adversarial Example
  Generation in Question Answering Systems
From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems
Gulsum Yigit
M. Amasyalı
AAML
185
0
0
26 Dec 2023
Navigating the Structured What-If Spaces: Counterfactual Generation via
  Structured Diffusion
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion
Nishtha Madaan
Srikanta J. Bedathur
DiffM
392
2
0
21 Dec 2023
Perturbation-Invariant Adversarial Training for Neural Ranking Models:
  Improving the Effectiveness-Robustness Trade-Off
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-OffAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuansan Liu
Ruqing Zhang
Mingkun Zhang
Wei Chen
Maarten de Rijke
Jiafeng Guo
Xueqi Cheng
AAML
171
12
0
16 Dec 2023
The Earth is Flat because...: Investigating LLMs' Belief towards
  Misinformation via Persuasive Conversation
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive ConversationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Rongwu Xu
Brian S. Lin
Shujian Yang
Tianqi Zhang
Weiyan Shi
Tianwei Zhang
Zhixuan Fang
Wei Xu
Han Qiu
532
90
0
14 Dec 2023
Towards Equipping Transformer with the Ability of Systematic
  Compositionality
Towards Equipping Transformer with the Ability of Systematic CompositionalityAAAI Conference on Artificial Intelligence (AAAI), 2023
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
237
2
0
12 Dec 2023
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model
  Qualities
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities
Sangwon Hyun
Mingyu Guo
Muhammad Ali Babar
228
28
0
11 Dec 2023
On the Robustness of Large Multimodal Models Against Image Adversarial
  Attacks
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
Xuanimng Cui
Alejandro Aparcedo
Young Kyun Jang
Ser-Nam Lim
AAMLVLM
274
79
0
06 Dec 2023
System 2 Attention (is something you might need too)
System 2 Attention (is something you might need too)
Jason Weston
Sainbayar Sukhbaatar
RALMOffRLLRM
193
80
0
20 Nov 2023
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Ashim Gupta
Rishanth Rajendhran
Nathan Stringham
Vivek Srikumar
Ana Marasović
AAML
275
8
0
16 Nov 2023
Explore Spurious Correlations at the Concept Level in Language Models
  for Text Classification
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
LRM
444
46
0
15 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against
  Language Models
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yibo Wang
Xiangjue Dong
James Caverlee
Philip S. Yu
270
0
0
14 Nov 2023
Measuring Adversarial Datasets
Measuring Adversarial Datasets
Yuanchen Bai
Raoyi Huang
Vijay Viswanathan
Tzu-Sheng Kuo
Tongshuang Wu
254
1
0
06 Nov 2023
Perturbation-based Active Learning for Question Answering
Perturbation-based Active Learning for Question Answering
Fan Luo
Mihai Surdeanu
266
0
0
04 Nov 2023
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