Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

7 April 2020

Papers citing "Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?"

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Title
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification Zhibo Zhang Jongseong Jang C. Trabelsi Ruiwen Li Scott Sanner Yeonjeong Jeong Dongsub Shim 14 4 0 28 Nov 2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 115 75 0 14 Nov 2021
A Survey on the Robustness of Feature Importance and Counterfactual Explanations Saumitra Mishra Sanghamitra Dutta Jason Long Daniele Magazzeni AAML 21 58 0 30 Oct 2021
Think about it! Improving defeasible reasoning by first modeling the question scenario Cencheng Shen Niket Tandon Ha Trinh Peter Clark Yiming Yang Eduard H. Hovy LRM ReLM 37 30 0 24 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 19 45 0 20 Oct 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 111 35 0 15 Oct 2021
Making Document-Level Information Extraction Right for the Right Reasons Liyan Tang Dhruv Rajan S. Mohan Abhijeet Pradhan R. Bryan Greg Durrett 15 1 0 14 Oct 2021
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 238 111 0 13 Oct 2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation Chen Zhao Chenyan Xiong Jordan L. Boyd-Graber Hal Daumé RALM 29 9 0 10 Oct 2021
Decision-Focused Summarization Chao-Chun Hsu Chenhao Tan 39 16 0 14 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 58 14 0 14 Sep 2021
Rationales for Sequential Predictions Keyon Vafa Yuntian Deng David M. Blei Alexander M. Rush 12 33 0 14 Sep 2021
Logic Traps in Evaluating Attribution Scores Yiming Ju Yuanzhe Zhang Zhao Yang Zhongtao Jiang Kang Liu Jun Zhao XAI FAtt 33 18 0 12 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 38 6 0 08 Sep 2021
Counterfactual Evaluation for Explainable AI Yingqiang Ge Shuchang Liu Zelong Li Shuyuan Xu Shijie Geng Yunqi Li Juntao Tan Fei Sun Yongfeng Zhang CML 38 14 0 05 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 41 235 0 02 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 32 16 0 31 Aug 2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation Lijie Wang Hao Liu Shu-ping Peng Hongxuan Tang Xinyan Xiao Ying-Cong Chen Hua Wu Haifeng Wang 25 5 0 30 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 21 23 0 27 Aug 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 29 460 0 26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification Amrith Krishna Sebastian Riedel Andreas Vlachos 26 62 0 25 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 24 6 0 16 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 27 225 0 10 Aug 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 31 17 0 09 Jun 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution Jiacheng Xu Greg Durrett 38 16 0 03 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 24 26 0 02 Jun 2021
Is Sparse Attention more Interpretable? Clara Meister Stefan Lazov Isabelle Augenstein Ryan Cotterell MILM 25 44 0 02 Jun 2021
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness Ruiwen Li Zhibo Zhang Jiani Li C. Trabelsi Scott Sanner Jongseong Jang Yeonjeong Jeong Dongsub Shim AAML 16 1 0 29 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 27 37 0 06 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 33 132 0 27 Apr 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis Harmanpreet Kaur Hal Daumé Hanna M. Wallach Jennifer Wortman Vaughan FAtt 51 27 0 27 Apr 2021
TrustyAI Explainability Toolkit Rob Geada Tommaso Teofili Rui Vieira Rebecca Whitworth Daniele Zonca 16 2 0 26 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 19 33 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
Faithful and Plausible Explanations of Medical Code Predictions Zach Wood-Doughty Isabel Cachola Mark Dredze 6 2 0 16 Apr 2021
Evaluating Saliency Methods for Neural Language Models Shuoyang Ding Philipp Koehn FAtt XAI 23 54 0 12 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals Xi Ye Rohan Nair Greg Durrett 21 24 0 09 Apr 2021
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 32 9 0 29 Mar 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 27 9 0 27 Mar 2021
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers Kamil Bujel H. Yannakoudakis Marek Rei VLM 19 8 0 26 Mar 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases Ilias Chalkidis Manos Fergadiotis D. Tsarapatsanis Nikolaos Aletras Ion Androutsopoulos Prodromos Malakasiotis AILaw 29 107 0 24 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 19 65 0 23 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 43 48 0 20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 39 226 0 15 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 11 214 0 09 Mar 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 44 95 0 02 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 19 141 0 24 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
QUACKIE: A NLP Classification Task With Ground Truth Explanations Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki 30 3 0 24 Dec 2020