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
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension Dheeru Dua Ananth Gottumukkala Alon Talmor Sameer Singh Matt Gardner 21 10 0 29 Dec 2019
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack Wei Ping Hengzhi Pei Boyuan Pan Han Liu Shuohang Wang Bohao Li AAML 17 6 0 22 Dec 2019
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks Minh Nguyen G. Ngo Nancy F. Chen 19 19 0 20 Dec 2019
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis Pavel Efimov Andrey Chertok Leonid Boytsov Pavel Braslavski 60 59 0 20 Dec 2019
Identifying Adversarial Sentences by Analyzing Text Complexity Hoang-Quoc Nguyen-Son Tran Thao Phuong Seira Hidano S. Kiyomoto DeLMO AAML 23 2 0 19 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric review Frederico Guth Teofilo de Campos 33 0 0 18 Dec 2019
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking Gustavo Penha C. Hauff 19 24 0 18 Dec 2019
Extending Machine Language Models toward Human-Level Language Understanding James L. McClelland Felix Hill Maja R. Rudolph Jason Baldridge Hinrich Schütze LRM 31 34 0 12 Dec 2019
Neural Module Networks for Reasoning over Text Nitish Gupta Kevin Lin Dan Roth Sameer Singh Matt Gardner NAI ReLM LRM 8 129 0 10 Dec 2019
Design and Interpretation of Universal Adversarial Patches in Face Detection Xiao Yang Fangyun Wei Hongyang R. Zhang Jun Zhu AAML CVBM 52 43 0 30 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 21 354 0 27 Nov 2019
JEC-QA: A Legal-Domain Question Answering Dataset Haoxiang Zhong Chaojun Xiao Cunchao Tu Tianyang Zhang Zhiyuan Liu Maosong Sun ELM AILaw 6 148 0 27 Nov 2019
Conclusion-Supplement Answer Generation for Non-Factoid Questions M. Nakatsuji Sohei Okui 3DV 8 8 0 25 Nov 2019
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets Saku Sugawara Pontus Stenetorp Kentaro Inui Akiko Aizawa 6 86 0 21 Nov 2019
Generate (non-software) Bugs to Fool Classifiers Hiromu Yakura Youhei Akimoto Jun Sakuma AAML 22 10 0 20 Nov 2019
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization Mantong Zhou Minlie Huang Xiaoyan Zhu AAML 22 17 0 16 Nov 2019
Increasing Robustness to Spurious Correlations using Forgettable Examples Yadollah Yaghoobzadeh Soroush Mehri Remi Tachet Timothy J. Hazen Alessandro Sordoni OOD 21 18 0 10 Nov 2019
Improving Machine Reading Comprehension via Adversarial Training Ziqing Yang Yiming Cui Wanxiang Che Ting Liu Shijin Wang Guoping Hu 27 17 0 09 Nov 2019
Ask to Learn: A Study on Curiosity-driven Question Generation Thomas Scialom Jacopo Staiano 27 24 0 08 Nov 2019
The TechQA Dataset Vittorio Castelli Rishav Chakravarti Saswati Dana Anthony Ferritto Radu Florian ... Andrzej Sakrajda Avirup Sil Rosario A. Uceda-Sosa T. Ward Rong Zhang 24 43 0 08 Nov 2019
Adversarial Language Games for Advanced Natural Language Intelligence Yuan Yao Haoxiang Zhong Zhengyan Zhang Xu Han Xiaozhi Wang Chaojun Xiao Guoyang Zeng Zhiyuan Liu Maosong Sun AAML 27 5 0 05 Nov 2019
Posing Fair Generalization Tasks for Natural Language Inference Atticus Geiger Ignacio Cases L. Karttunen Christopher Potts 17 48 0 03 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks Rong Huang Fuming Fang H. Nguyen Junichi Yamagishi Isao Echizen AAML 11 6 0 02 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 42 977 0 31 Oct 2019
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? Chenglei Si Shuohang Wang Min-Yen Kan Jing Jiang 39 53 0 28 Oct 2019
Relation Module for Non-answerable Prediction on Question Answering Kevin Huang Yun Tang Jing-ling Huang Xiaodong He Bowen Zhou 12 6 0 23 Oct 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension Adam Fisch Alon Talmor Robin Jia Minjoon Seo Eunsol Choi Danqi Chen 24 301 0 22 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 8 32 0 14 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 11 15 0 10 Oct 2019
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations Zhengyuan Liu A. Ng Yutong Li AiTi Aw Cewu Lu 24 101 0 03 Oct 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 28 560 0 26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
Question Answering is a Format; When is it Useful? Matt Gardner Jonathan Berant Hannaneh Hajishirzi Alon Talmor Sewon Min 23 51 0 25 Sep 2019
An Empirical Study of Content Understanding in Conversational Question Answering Ting-Rui Chiang Hao-Tong Ye Yun-Nung (Vivian) Chen ELM 31 8 0 24 Sep 2019
Procedural Reasoning Networks for Understanding Multimodal Procedures Mustafa Sercan Amac Semih Yagcioglu Aykut Erdem Erkut Erdem 24 13 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 33 668 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 13 35 0 17 Sep 2019
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering Shiyue Zhang Joey Tianyi Zhou 24 140 0 13 Sep 2019
End-to-End Bias Mitigation by Modelling Biases in Corpora Rabeeh Karimi Mahabadi Yonatan Belinkov James Henderson 19 174 0 13 Sep 2019
Retrofitting Contextualized Word Embeddings with Paraphrases Weijia Shi Muhao Chen Pei Zhou Kai-Wei Chang 14 28 0 12 Sep 2019
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 14 12 0 12 Sep 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models Ethan Perez Siddharth Karamcheti Rob Fergus Jason Weston Douwe Kiela Kyunghyun Cho RALM 25 37 0 12 Sep 2019
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns Nikhil Verma Abhishek Sharma Dhiraj Madan Danish Contractor Harshit Kumar Sachindra Joshi 21 2 0 09 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 20 460 0 09 Sep 2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation Yu-Lun Hsieh Minhao Cheng Da-Cheng Juan Wei Wei W. Hsu Cho-Jui Hsieh AAML 15 2 0 06 Sep 2019
Robustness to Modification with Shared Words in Paraphrase Identification Zhouxing Shi Minlie Huang 26 1 0 05 Sep 2019
Semantics-aware BERT for Language Understanding ZhuoSheng Zhang Yuwei Wu Zhao Hai Z. Li Shuailiang Zhang Xi Zhou Xiang Zhou 21 363 0 05 Sep 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation Po-Sen Huang Robert Stanforth Johannes Welbl Chris Dyer Dani Yogatama Sven Gowal Krishnamurthy Dvijotham Pushmeet Kohli AAML 11 164 0 03 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 185 291 0 03 Sep 2019
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization Yi-Ting Yeh Yun-Nung (Vivian) Chen 16 34 0 31 Aug 2019