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Understanding Interlocking Dynamics of Cooperative Rationalization

Understanding Interlocking Dynamics of Cooperative Rationalization

26 October 2021
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Understanding Interlocking Dynamics of Cooperative Rationalization"

32 / 32 papers shown
Title
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization
Yunxiao Zhao
Zhiqiang Wang
Xingtong Yu
Xiaoli Li
Jiye Liang
Ru Li
32
0
0
15 Oct 2025
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Wen Liu
Zhongyu Niu
Lang Gao
Zhiying Deng
Jun Wang
Haobo Wang
Ruixuan Li
1.1K
4
0
04 May 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input UtilizationInternational Conference on Learning Representations (ICLR), 2025
Wen Liu
Zhiying Deng
Zhongyu Niu
Jun Wang
Yining Qi
Zhigang Zeng
Ruixuan Li
198
8
0
08 Mar 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language ModelsKnowledge Discovery and Data Mining (KDD), 2025
Libing Yuan
Shuaibo Hu
Kui Yu
Le Wu
LRM
198
1
0
03 Jan 2025
Improving Decision Sparsity
Improving Decision SparsityNeural Information Processing Systems (NeurIPS), 2024
Yiyang Sun
Tong Wang
Cynthia Rudin
768
0
0
27 Oct 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating
  Non-causal Features to Plain Noise for Self-Rationalization
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-RationalizationNeural Information Processing Systems (NeurIPS), 2024
Wei Liu
Zhiying Deng
Zhongyu Niu
Jun Wang
Haozhao Wang
YuanKai Zhang
Ruixuan Li
279
13
0
08 Oct 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale
  Extraction
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Han Jiang
Junwen Duan
Zhe Qu
Jianxin Wang
117
3
0
04 Oct 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut
  Learning in Text Classification by Language Models
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yuqing Zhou
Ruixiang Tang
Ziyu Yao
Ziwei Zhu
172
6
0
26 Sep 2024
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature DetectorEuropean Conference on Computer Vision (ECCV), 2024
Xianren Zhang
Dongwon Lee
Suhang Wang
VLMFAtt
169
4
0
27 Jul 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts
  Discovery
Towards Faithful Explanations: Boosting Rationalization with Shortcuts DiscoveryInternational Conference on Learning Representations (ICLR), 2024
Linan Yue
Qi Liu
Yichao Du
Li Wang
Weibo Gao
Yanqing An
163
6
0
12 Mar 2024
Sparse and Faithful Explanations Without Sparse Models
Sparse and Faithful Explanations Without Sparse Models
Yiyang Sun
Zhi Chen
Vittorio Orlandi
Tong Wang
Cynthia Rudin
163
3
0
15 Feb 2024
Enhancing the Rationale-Input Alignment for Self-explaining
  Rationalization
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
Wei Liu
Yining Qi
Jun Wang
Zhiying Deng
Yuankai Zhang
Chengwei Wang
Ruixuan Li
130
15
0
07 Dec 2023
You Only Forward Once: Prediction and Rationalization in A Single
  Forward Pass
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
Han Jiang
Junwen Duan
Zhe Qu
Jianxin Wang
152
3
0
04 Nov 2023
On the Interplay between Fairness and Explainability
On the Interplay between Fairness and Explainability
Stephanie Brandl
Emanuele Bugliarello
Ilias Chalkidis
FaML
174
7
0
25 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation
  Regularization
REFER: An End-to-end Rationale Extraction Framework for Explanation RegularizationConference on Computational Natural Language Learning (CoNLL), 2023
Mohammad Reza Ghasemi Madani
Pasquale Minervini
167
4
0
22 Oct 2023
D-Separation for Causal Self-Explanation
D-Separation for Causal Self-ExplanationNeural Information Processing Systems (NeurIPS), 2023
Wei Liu
Jun Wang
Yining Qi
Rui Li
Zhiying Deng
YuanKai Zhang
Yang Qiu
207
25
0
23 Sep 2023
MDACE: MIMIC Documents Annotated with Code Evidence
MDACE: MIMIC Documents Annotated with Code EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hua Cheng
Rana Jafari
April Russell
Russell Klopfer
Edmond Lu
Benjamin Striner
Matthew R. Gormley
135
18
0
07 Jul 2023
Towards Trustworthy Explanation: On Causal Rationalization
Towards Trustworthy Explanation: On Causal RationalizationInternational Conference on Machine Learning (ICML), 2023
Wenbo Zhang
Tong Wu
Yunlong Wang
Yong Cai
Hengrui Cai
CML
231
23
0
25 Jun 2023
Unsupervised Selective Rationalization with Noise Injection
Unsupervised Selective Rationalization with Noise InjectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Adam Storek
Melanie Subbiah
Kathleen McKeown
119
5
0
27 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible
  Lipschitz Restraint
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz RestraintKnowledge Discovery and Data Mining (KDD), 2023
Wei Liu
Jun Wang
Yining Qi
Rui Li
Yang Qiu
Yuankai Zhang
Jie Han
Yixiong Zou
176
17
0
23 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop
  Fact Verification
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
Deyu Zhou
AAML
185
5
0
16 May 2023
MGR: Multi-generator Based Rationalization
MGR: Multi-generator Based RationalizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Wei Liu
Yining Qi
Jun Wang
Rui Li
Xinyang Li
Yuankai Zhang
Yang Qiu
222
14
0
08 May 2023
Rationalization for Explainable NLP: A Survey
Rationalization for Explainable NLP: A Survey
Sai Gurrapu
Ajay Kulkarni
Lifu Huang
Ismini Lourentzou
Laura J. Freeman
Feras A. Batarseh
185
48
0
21 Jan 2023
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CMLAAML
180
9
0
29 Nov 2022
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
237
20
0
20 Oct 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification
Interlock-Free Multi-Aspect Rationalization for Text Classification
Shuang Li
Diego Antognini
Boi Faltings
99
1
0
13 May 2022
Assistive Recipe Editing through Critiquing
Assistive Recipe Editing through CritiquingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Diego Antognini
Shuyang Li
Boi Faltings
Julian McAuley
100
2
0
05 May 2022
Hierarchical Interpretation of Neural Text Classification
Hierarchical Interpretation of Neural Text ClassificationComputational Linguistics (CL), 2022
Hanqi Yan
Lin Gui
Yulan He
203
14
0
20 Feb 2022
UNIREX: A Unified Learning Framework for Language Model Rationale
  Extraction
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
168
45
0
16 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
258
27
0
30 Nov 2021
Structured Attention Networks
Structured Attention NetworksInternational Conference on Learning Representations (ICLR), 2017
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
374
477
0
03 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.7K
18,719
0
16 Feb 2016
1