Adversarial Examples for Evaluating Reading Comprehension Systems

23 July 2017

Robin Jia

Papers citing "Adversarial Examples for Evaluating Reading Comprehension Systems"

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Title
A Logic-Driven Framework for Consistency of Neural Models Tao Li Vivek Gupta Maitrey Mehta Vivek Srikumar AI4CE 15 101 0 31 Aug 2019
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification Yinfei Yang Y. Zhang Chris Tar Jason Baldridge AAML 12 358 0 30 Aug 2019
Detecting and Reducing Bias in a High Stakes Domain Ruiqi Zhong Yanda Chen D. Patton C. Selous Kathy McKeown 14 5 0 29 Aug 2019
Universal, transferable and targeted adversarial attacks Junde Wu Rao Fu AAML SILM 15 10 0 29 Aug 2019
Interactive Language Learning by Question Answering Xingdi Yuan Marc-Alexandre Côté Jie Fu Zhouhan Lin C. Pal Yoshua Bengio Adam Trischler 11 46 0 28 Aug 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual He He Sheng Zha Haohan Wang 13 197 0 28 Aug 2019
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples Marcus Soll Tobias Hinz S. Magg S. Wermter AAML 13 22 0 21 Aug 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 43 836 0 20 Aug 2019
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation Yuh-Shyang Wang Tsui-Wei Weng Luca Daniel AAML 13 16 0 18 Aug 2019
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack Emily Dinan Samuel Humeau Bharath Chintagunta Jason Weston 13 243 0 17 Aug 2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text Koustuv Sinha Shagun Sodhani Jin Dong Joelle Pineau William L. Hamilton 21 196 0 16 Aug 2019
Towards Debiasing Fact Verification Models Tal Schuster Darsh J. Shah Yun Jie Serene Yeo Daniel Filizzola Enrico Santus Regina Barzilay 14 209 0 14 Aug 2019
Reasoning-Driven Question-Answering for Natural Language Understanding Daniel Khashabi LRM 20 11 0 14 Aug 2019
Mitigating Noisy Inputs for Question Answering Denis Peskov Joe Barrow Pedro Rodriguez Graham Neubig Jordan L. Boyd-Graber AAML 8 16 0 08 Aug 2019
Exploring the Robustness of NMT Systems to Nonsensical Inputs Akshay Chaturvedi K. Abijith Utpal Garain AAML 16 12 0 03 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 38 840 0 31 Jul 2019
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs Nilesh Chakraborty Denis Lukovnikov Gaurav Maheshwari Priyansh Trivedi Jens Lehmann Asja Fischer GNN LMTD 11 54 0 22 Jul 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 24 104 0 19 Jul 2019
Probing Neural Network Comprehension of Natural Language Arguments Timothy Niven Hung-Yu kao AAML 17 453 0 17 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 19 94 0 09 Jul 2019
Learning by Abstraction: The Neural State Machine Drew A. Hudson Christopher D. Manning NAI OCL 8 258 0 09 Jul 2019
Neural Machine Reading Comprehension: Methods and Trends Kaixuan Li Xiujuan Xian Sheng Zhang Jiafu Wang N. Yu FaML 25 12 0 02 Jul 2019
Machine Reading Comprehension: a Literature Review Xin Zhang An Yang Sujian Li Yizhong Wang 25 33 0 30 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 28 120 0 19 Jun 2019
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA Yichen Jiang Joey Tianyi Zhou AAML LRM 16 103 0 17 Jun 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension Haichao Zhu Li Dong Furu Wei Wenhui Wang Bing Qin Ting Liu RALM 16 31 0 14 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning Zhengxiao Du Chang Zhou Ming Ding Hongxia Yang Jie Tang ReLM LRM 11 24 0 13 Jun 2019
Unsupervised Question Answering by Cloze Translation Patrick Lewis Ludovic Denoyer Sebastian Riedel 11 138 0 12 Jun 2019
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension Minghao Hu Yuxing Peng Zhen Huang Dongsheng Li RALM 11 58 0 11 Jun 2019
A Survey on Neural Machine Reading Comprehension Boyu Qiu Xu Chen Jungang Xu Yingfei Sun FaML AIMat 13 31 0 10 Jun 2019
Question Answering as Global Reasoning over Semantic Abstractions Daniel Khashabi Tushar Khot Ashish Sabharwal Dan Roth 14 81 0 09 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 25 35 0 09 Jun 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs Yong Cheng Lu Jiang Wolfgang Macherey AAML 19 254 0 06 Jun 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension Alon Talmor Jonathan Berant 4 172 0 31 May 2019
A Lightweight Recurrent Network for Sequence Modeling Biao Zhang Rico Sennrich 27 7 0 30 May 2019
Interpretable Adversarial Training for Text Samuel Barham S. Feizi AAML 13 17 0 30 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 19 187 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 12 1,359 0 29 May 2019
Combating Adversarial Misspellings with Robust Word Recognition Danish Pruthi Bhuwan Dhingra Zachary Chase Lipton 8 300 0 27 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 57 1,392 0 24 May 2019
HellaSwag: Can a Machine Really Finish Your Sentence? Rowan Zellers Ari Holtzman Yonatan Bisk Ali Farhadi Yejin Choi 12 2,212 0 19 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko Zhaoyang Lyu Tsui-Wei Weng Luca Daniel Ngai Wong Dahua Lin AAML 17 75 0 17 May 2019
Misleading Failures of Partial-input Baselines Shi Feng Eric Wallace Jordan L. Boyd-Graber 25 0 0 14 May 2019
Cognitive Graph for Multi-Hop Reading Comprehension at Scale Ming Ding Chang Zhou Qibin Chen Hongxia Yang Jie Tang 10 225 0 14 May 2019
The relational processing limits of classic and contemporary neural network models of language processing Guillermo Puebla Andrea E. Martin L. Doumas 14 10 0 12 May 2019
Adversarial Defense Framework for Graph Neural Network Shen Wang Zhengzhang Chen Jingchao Ni Xiao Yu Zhichun Li Haifeng Chen Philip S. Yu AAML GNN 9 28 0 09 May 2019
An Empirical Evaluation of Adversarial Robustness under Transfer Learning Todor Davchev Timos Korres Stathi Fotiadis N. Antonopoulos S. Ramamoorthy AAML 20 0 0 07 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 17 2,255 0 02 May 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications Chenglong Wang Rudy Bunel Krishnamurthy Dvijotham Po-Sen Huang Edward Grefenstette Pushmeet Kohli 22 5 0 26 Apr 2019
Quizbowl: The Case for Incremental Question Answering Pedro Rodriguez Shi Feng Mohit Iyyer He He Jordan L. Boyd-Graber 12 50 0 09 Apr 2019