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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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 21 16 0 26 Oct 2021
Generating Watermarked Adversarial Texts Mingjie Li Hanzhou Wu Xinpeng Zhang AAML WaLM 24 1 0 25 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting Samuel J. Bell Neil D. Lawrence 32 4 0 20 Oct 2021
On the Robustness of Reading Comprehension Models to Entity Renaming Jun Yan Yang Xiao Sagnik Mukherjee Bill Yuchen Lin Robin Jia Xiang Ren 8 20 0 16 Oct 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail Sam Bowman OffRL 24 45 0 15 Oct 2021
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 29 3 0 15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 30 31 0 14 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 24 25 0 14 Oct 2021
Semantically Distributed Robust Optimization for Vision-and-Language Inference Tejas Gokhale A. Chaudhary Pratyay Banerjee Chitta Baral Yezhou Yang 51 17 0 14 Oct 2021
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 AAML SILM 82 175 0 14 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 47 16 0 14 Oct 2021
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 9 1 0 13 Oct 2021
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems Harrison Lee Raghav Gupta Abhinav Rastogi Yuan Cao Bin Zhang Yonghui Wu 74 33 0 13 Oct 2021
SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text Hoang-Quoc Nguyen-Son Seira Hidano Kazuhide Fukushima S. Kiyomoto AAML 9 0 0 12 Oct 2021
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking Dirk Vath Pascal Tilli Ngoc Thang Vu 41 4 0 11 Oct 2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation Chen Zhao Chenyan Xiong Jordan L. Boyd-Graber Hal Daumé RALM 21 8 0 10 Oct 2021
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 17 0 0 09 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching Vaibhav Adlakha S. Dhuliawala Kaheer Suleman H. D. Vries Siva Reddy BDL 20 84 0 02 Oct 2021
Improving Question Answering Performance Using Knowledge Distillation and Active Learning Yasaman Boreshban Seyed Morteza Mirbostani Gholamreza Ghassem-Sani Seyed Abolghasem Mirroshandel Shahin Amiriparian 29 15 0 26 Sep 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models Lalchand Pandia Allyson Ettinger 44 37 0 25 Sep 2021
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap Kazutoshi Shinoda Saku Sugawara Akiko Aizawa 26 13 0 23 Sep 2021
Numerical reasoning in machine reading comprehension tasks: are we there yet? Hadeel Al-Negheimish Pranava Madhyastha A. Russo AIMat ReLM 22 13 0 16 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? Sagnik Ray Choudhury Nikita Bhutani Isabelle Augenstein 27 1 0 15 Sep 2021
ARCH: Efficient Adversarial Regularized Training with Caching Simiao Zuo Chen Liang Haoming Jiang Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen T. Zhao AAML 28 3 0 15 Sep 2021
Adversarial Examples for Evaluating Math Word Problem Solvers Vivek Kumar Rishabh Maheshwary Vikram Pudi AAML 27 32 0 13 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Yu Wu Ji-Rong Wen AAML 21 7 0 13 Sep 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models Bill Yuchen Lin Wenyang Gao Jun Yan Ryan Rene Moreno Xiang Ren AAML 24 42 0 12 Sep 2021
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model Kijong Han Seojin Lee Wooin Lee Joosung Lee Donghun Lee AAML 25 5 0 10 Sep 2021
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification Maximilian Mozes Max Bartolo Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin DeLMO AAML SILM 11 5 0 09 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 17 32 0 09 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 61 35 0 09 Sep 2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models Kaixin Ma Filip Ilievski Jonathan M Francis Satoru Ozaki Eric Nyberg A. Oltramari LRM 30 16 0 07 Sep 2021
On Length Divergence Bias in Textual Matching Models Lan Jiang Tianshu Lyu Yankai Lin Chong Meng Xiaoyong Lyu Dawei Yin 19 4 0 06 Sep 2021
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack Shengcai Liu Ning Lu Cheng Chen Ke Tang AAML 23 32 0 06 Sep 2021
Towards Improving Adversarial Training of NLP Models Jin Yong Yoo Yanjun Qi AAML 6 123 0 01 Sep 2021
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques Hossein Amirkhani Mohammad Taher Pilehvar 31 5 0 01 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare Yan Jia John McDermid T. Lawton Ibrahim Habli 18 48 0 01 Sep 2021
HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media Shiwen Ni Jiawen Li Hung-Yu kao 14 6 0 29 Aug 2021
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization Chujie Zheng Kunpeng Zhang Harry J. Wang Ling Fan Zhe Wang 25 6 0 26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification Amrith Krishna Sebastian Riedel Andreas Vlachos 21 61 0 25 Aug 2021
Semantic-Preserving Adversarial Text Attacks Xinghao Yang Weifeng Liu James Bailey Dacheng Tao Wei Liu AAML 25 16 0 23 Aug 2021
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms A. Samadi Debapriya Banerjee Shirin Nilizadeh 35 1 0 12 Aug 2021
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning Vivek Gupta Riyaz Ahmad Bhat Atreya Ghosal Manisha Srivastava M. Singh Vivek Srikumar LMTD 15 18 0 02 Aug 2021
MuSiQue: Multihop Questions via Single-hop Question Composition H. Trivedi Niranjan Balasubramanian Tushar Khot Ashish Sabharwal LRM 15 229 0 02 Aug 2021
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition Mor Geva Tomer Wolfson Jonathan Berant ReLM LRM 20 21 0 29 Jul 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong A. Luu Rongrong Ji Hong Liu SILM AAML 35 113 0 28 Jul 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension Anna Rogers Matt Gardner Isabelle Augenstein 27 163 0 27 Jul 2021