D-Separation for Causal Self-Explanation

D-Separation for Causal Self-Explanation

23 September 2023

Jun Wang

YuanKai Zhang

Papers citing "D-Separation for Causal Self-Explanation"

5 / 5 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 67 1 0 04 May 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Huaizhi Ge Yiming Li Qifan Wang Yongfeng Zhang Ruixiang Tang AAML SILM 72 0 0 19 Nov 2024
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Haozhao Wang Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 34 12 0 23 May 2023
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 197 0 22 Mar 2020
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 193 292 0 15 Oct 2012