Did the Model Understand the Question?

14 May 2018

Pramod Kaushik Mudrakarta

Ankur Taly

Papers citing "Did the Model Understand the Question?"

50 / 110 papers shown

Title
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 14 9 0 27 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 17 48 0 20 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 38 103 0 11 Mar 2021
Text Compression-aided Transformer Encoding Z. Li Zhuosheng Zhang Hai Zhao Rui Wang Kehai Chen Masao Utiyama Eiichiro Sumita AI4CE 12 44 0 11 Feb 2021
Model Agnostic Answer Reranking System for Adversarial Question Answering Sagnik Majumder Chinmoy Samant Greg Durrett OOD AAML 9 5 0 05 Feb 2021
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification Yao Qiang Supriya Tumkur Suresh Kumar Marco Brocanelli D. Zhu AAML 13 0 0 10 Jan 2021
SG-Net: Syntax Guided Transformer for Language Representation Zhuosheng Zhang Yuwei Wu Junru Zhou Sufeng Duan Hai Zhao Rui-cang Wang 38 36 0 27 Dec 2020
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism Swapnil Parekh Yaman Kumar Singla Changyou Chen Junyi Jessy Li R. Shah 11 11 0 27 Dec 2020
Object-Centric Diagnosis of Visual Reasoning Jianwei Yang Jiayuan Mao Jiajun Wu Devi Parikh David D. Cox J. Tenenbaum Chuang Gan OCL 8 16 0 21 Dec 2020
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering Weixin Liang Fei Niu Aishwarya N. Reganti Govind Thattai Gökhan Tür 26 17 0 21 Nov 2020
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends Shagun Uppal Sarthak Bhagat Devamanyu Hazarika Navonil Majumdar Soujanya Poria Roger Zimmermann Amir Zadeh 18 6 0 19 Oct 2020
Towards Interpreting BERT for Reading Comprehension Based QA Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra 23 30 0 18 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang SILM 11 57 0 06 Oct 2020
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect Zheni Zeng Chaojun Xiao Yuan Yao Ruobing Xie Zhiyuan Liu Fen Lin Leyu Lin Maosong Sun VLM 16 40 0 19 Sep 2020
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering Shih-Ting Lin Greg Durrett 12 1 0 18 Sep 2020
On Commonsense Cues in BERT for Solving Commonsense Tasks Leyang Cui Sijie Cheng Yu Wu Yue Zhang SSL CML LRM 12 14 0 10 Aug 2020
Pattern-Guided Integrated Gradients Robert Schwarzenberg Steffen Castle 9 1 0 21 Jul 2020
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets Jianing Yang Yuying Zhu Yongxin Wang Ruitao Yi Amir Zadeh Louis-Philippe Morency 14 12 0 07 Jul 2020
Backdoors in Neural Models of Source Code Goutham Ramakrishnan Aws Albarghouthi AAML SILM 14 54 0 11 Jun 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights Shaunak Halbe 10 2 0 11 Jun 2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models Viktor Schlegel Goran Nenadic R. Batista-Navarro ELM 14 18 0 29 May 2020
Language (Re)modelling: Towards Embodied Language Understanding Ronen Tamari Chen Shani Tom Hope Miriam R. L. Petruck Omri Abend Dafna Shahaf 6 29 0 01 May 2020
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks Winston Wu Dustin L. Arendt Svitlana Volkova AAML 4 5 0 01 May 2020
Robust Question Answering Through Sub-part Alignment Jifan Chen Greg Durrett OOD 8 13 0 30 Apr 2020
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Y. Hao Li Dong Furu Wei Ke Xu ViT 6 211 0 23 Apr 2020
Testing Machine Translation via Referential Transparency Pinjia He Clara Meister Z. Su 6 48 0 22 Apr 2020
What do Models Learn from Question Answering Datasets? Priyanka Sen Amir Saffari RALM ELM 8 74 0 07 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective Saku Sugawara Pontus Stenetorp Akiko Aizawa 8 2 0 04 Apr 2020
Practical Annotation Strategies for Question Answering Datasets Bernhard Kratzwald Xiang Yue Huan Sun Stefan Feuerriegel 8 0 0 06 Mar 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 95 0 07 Feb 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu Ching-Yun Ko Zhifeng Kong Ngai Wong Dahua Lin Luca Daniel 30 67 0 02 Dec 2019
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization Mantong Zhou Minlie Huang Xiaoyan Zhu AAML 11 17 0 16 Nov 2019
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason Naoya Inoue Pontus Stenetorp Kentaro Inui 17 59 0 10 Oct 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang 23 42 0 30 Sep 2019
Semantics-aware BERT for Language Understanding Zhuosheng Zhang Yuwei Wu Zhao Hai Z. Li Shuailiang Zhang Xi Zhou Xiang Zhou 19 362 0 05 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance Shilin He Zhaopeng Tu Xing Wang Longyue Wang Michael R. Lyu Shuming Shi AAML 13 39 0 01 Sep 2019
Fine-grained Sentiment Analysis with Faithful Attention Ruiqi Zhong Steven Shao Kathleen McKeown 12 50 0 19 Aug 2019
SG-Net: Syntax-Guided Machine Reading Comprehension Zhuosheng Zhang Yuwei Wu Junru Zhou Sufeng Duan Hai Zhao Rui Wang 14 187 0 14 Aug 2019
Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du Ninghao Liu Fan Yang Xia Hu FaML 10 45 0 13 Aug 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 11 103 0 19 Jul 2019
Explaining an increase in predicted risk for clinical alerts Michaela Hardt A. Rajkomar Gerardo Flores Andrew M. Dai M. Howell Greg S. Corrado Claire Cui Moritz Hardt FAtt 15 12 0 10 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
Machine learning and behavioral economics for personalized choice architecture Emir Hrnjic N. Tomczak CML AI4CE 11 8 0 03 Jul 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 15 120 0 19 Jun 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 11 187 0 29 May 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets Nelson F. Liu Roy Schwartz Noah A. Smith AAML 15 104 0 04 Apr 2019
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering Ramakrishna Vedantam Karan Desai Stefan Lee Marcus Rohrbach Dhruv Batra Devi Parikh NAI BDL 10 84 0 21 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 13 39 0 12 Feb 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 11 548 0 21 Dec 2018
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems Barbara Rychalska Dominika Basaj P. Biecek OOD AAML 11 5 0 05 Dec 2018