Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

29 October 2019

Papers citing "Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control"

43 / 43 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 137 1 0 04 May 2025
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 45 3 0 27 Jul 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 34 5 0 12 Mar 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 32 9 0 07 Dec 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 11 1 0 01 Jun 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 44 12 0 23 May 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 34 10 0 22 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Yining Qi Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 23 7 0 08 May 2023
Explicit Planning Helps Language Models in Logical Reasoning Hongyu Zhao Kangrui Wang Mo Yu Hongyuan Mei LRM ReLM 38 15 0 28 Mar 2023
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 32 181 0 15 Nov 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 27 82 0 13 Oct 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 35 3 0 09 Oct 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models Ya-Ming Shen Lijie Wang Ying Chen Xinyan Xiao Jing Liu Hua-Hong Wu 37 4 0 28 Jul 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 21 93 0 16 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 21 6 0 06 Jun 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying Chen Hua-Hong Wu Haifeng Wang ELM 11 21 0 23 May 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 19 0 0 13 May 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 23 40 0 25 Apr 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 21 11 0 13 Jan 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 41 41 0 16 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 35 22 0 30 Nov 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction Kosuke Nishida Kyosuke Nishida Itsumi Saito Sen Yoshida 30 7 0 17 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 20 41 0 26 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 17 44 0 20 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 32 16 0 14 Oct 2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results M. Fomicheva Piyawat Lertvittayakumjorn Wei-Ye Zhao Steffen Eger Yang Gao ELM 16 39 0 08 Oct 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 35 13 0 05 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 21 7 0 29 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 13 23 0 27 Aug 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 27 457 0 26 Aug 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 16 26 0 02 Jun 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 24 19 0 11 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 22 132 0 27 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Why Attentions May Not Be Interpretable? Bing Bai Jian Liang Guanhua Zhang Hao Li Kun Bai Fei-Yue Wang FAtt 12 56 0 10 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei-Yue Wang AAML 44 18 0 09 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 22 60 0 28 Oct 2019
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012