Deriving Machine Attention from Human Rationales

28 August 2018

Papers citing "Deriving Machine Attention from Human Rationales"

34 / 34 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wen Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 218 1 0 04 May 2025
CREW: Facilitating Human-AI Teaming Research Lingyu Zhang Zhengran Ji Boyuan Chen 54 3 0 03 Jan 2025
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 50 1 0 03 Apr 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
A Survey on Human-AI Teaming with Large Pre-Trained Models Vanshika Vats Marzia Binta Nizam Minghao Liu Ziyuan Wang Richard Ho ... Celeste Shen Rachel Shen Nafisa Hussain Kesav Ravichandran James Davis LM&MA 47 8 0 07 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 38 9 0 07 Dec 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 49 12 0 23 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Yining Qi Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 25 7 0 08 May 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 31 39 0 07 Dec 2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection Jiyun Kim Byounghan Lee Kyung-ah Sohn 31 13 0 01 Nov 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 31 82 0 13 Oct 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 25 0 0 13 May 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers Zheng Tang Mihai Surdeanu 27 6 0 25 Apr 2022
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision Sam Preston Mu-Hsin Wei Rajesh Rao Robert Tinn Naoto Usuyama ... Paul D. Tittel Naveen Valluri Tristan Naumann Carlo Bifulco Hoifung Poon 23 6 0 20 Mar 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 23 11 0 13 Jan 2022
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 24 41 0 26 Oct 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 25 1 0 02 Sep 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 27 32 0 02 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 27 20 0 26 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
Attention Forcing for Machine Translation Qingyun Dou Yiting Lu Potsawee Manakul Xixin Wu Mark Gales 31 7 0 02 Apr 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 25 87 0 03 Feb 2021
Few-Shot Semantic Parsing for New Predicates Zhuang Li Lizhen Qu Shuo Huang Gholamreza Haffari NAI 28 9 0 26 Jan 2021
Towards Transparent and Explainable Attention Models Akash Kumar Mohankumar Preksha Nema Sharan Narasimhan Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 44 99 0 29 Apr 2020
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA Badri N. Patro Anupriy Vinay P. Namboodiri AAML FAtt 48 26 0 19 Nov 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 22 60 0 28 Oct 2019
Automatic Fact-guided Sentence Modification Darsh J. Shah Tal Schuster Regina Barzilay KELM 18 40 0 30 Sep 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 29 67 0 16 Jul 2019
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 19 57 0 31 May 2019
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes Yujia Bao Zhengyi Deng Yan Wang Heeyoon Kim V. D. Armengol ... Cathy Wang Giovanni Parmigiani Regina Barzilay D. Braun K. Hughes 22 43 0 24 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 31 1,301 0 26 Feb 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,929 0 17 Aug 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,373 0 25 Aug 2014
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012