Towards Trustworthy Explanation: On Causal Rationalization

25 June 2023

Papers citing "Towards Trustworthy Explanation: On Causal Rationalization"

20 / 20 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets W. Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang H. Wang Ruixuan Li 120 1 0 04 May 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization W. Liu Zhiying Deng Zhongyu Niu Jun Wang Haozhao Wang Zhigang Zeng Ruixuan Li 42 2 0 08 Mar 2025
Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Marc Schmitt Pantelis Koutroumpis 40 0 0 03 Jan 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language Models Libing Yuan Shuaibo Hu Kui Yu Le Wu LRM 31 0 0 03 Jan 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 52 2 0 03 Jan 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 48 7 0 31 Dec 2024
Concept Based Continuous Prompts for Interpretable Text Classification Qian Chen Dongyang Li Xiaofeng He 90 0 0 02 Dec 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization Wei Liu Zhiying Deng Zhongyu Niu Jun Wang Haozhao Wang YuanKai Zhang Ruixuan Li 40 4 0 08 Oct 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models Yuqing Zhou Ruixiang Tang Ziyu Yao Ziwei Zhu 31 2 0 26 Sep 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 30 1 0 30 Apr 2024
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets Hang Chen Xinyu Yang Keqing Du CML 26 2 0 16 Jan 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Haozhao Wang Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 30 9 0 07 Dec 2023
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports Ye Eun Chun Sunjae Kwon Kyung-Woo Sohn Nakwon Sung Junyoup Lee Byungki Seo Kevin Compher Seung-won Hwang Jaesik Choi 32 1 0 24 Oct 2023
D-Separation for Causal Self-Explanation Wei Liu Jun Wang Haozhao Wang Rui Li Zhiying Deng YuanKai Zhang Yang Qiu 80 13 0 23 Sep 2023
On Learning Necessary and Sufficient Causal Graphs Hengrui Cai Yixin Wang Michael Jordan Rui Song CML 24 12 0 29 Jan 2023
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 51 29 0 25 Oct 2022
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 122 35 0 16 Dec 2020
How Does Selective Mechanism Improve Self-Attention Networks? Xinwei Geng Longyue Wang Xing Wang Bing Qin Ting Liu Zhaopeng Tu AAML 34 35 0 03 May 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 195 296 0 15 Oct 2012