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1808.09367
Cited By
Deriving Machine Attention from Human Rationales
28 August 2018
Yujia Bao
Shiyu Chang
Mo Yu
Regina Barzilay
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Papers citing
"Deriving Machine Attention from Human Rationales"
50 / 71 papers shown
Text Rationalization for Robust Causal Effect Estimation
Lijinghua Zhang
Hengrui Cai
CML
239
0
0
05 Dec 2025
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization
Yunxiao Zhao
Zhiqiang Wang
Xingtong Yu
Xiaoli Li
Jiye Liang
Ru Li
176
1
0
15 Oct 2025
Can human clinical rationales improve the performance and explainability of clinical text classification models?
Christoph Metzner
Shang Gao
Drahomira Herrmannova
Heidi A. Hanson
162
0
0
28 Jul 2025
SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models
Gyuhak Kim
Sumiran Thakur
Su Min Park
Wei Wei
Yujia Bao
197
3
0
17 Jun 2025
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
1.5K
6
0
04 May 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
International Conference on Learning Representations (ICLR), 2025
Wen Liu
Zhiying Deng
Zhongyu Niu
Jun Wang
Yining Qi
Zhigang Zeng
Ruixuan Li
441
9
0
08 Mar 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language Models
Knowledge Discovery and Data Mining (KDD), 2025
Libing Yuan
Shuaibo Hu
Kui Yu
Le Wu
LRM
361
1
0
03 Jan 2025
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang
Zhengran Ji
Boyuan Chen
592
9
0
03 Jan 2025
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off
Eoin M. Kenny
Julie A. Shah
371
2
0
12 Dec 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Han Jiang
Junwen Duan
Zhe Qu
Jianxin Wang
289
4
0
04 Oct 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yuqing Zhou
Ruixiang Tang
Ziyu Yao
Ziwei Zhu
379
11
0
26 Sep 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck
Marcos M. Raimundo
Jorge Poco
363
8
0
03 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
International Conference on Learning Representations (ICLR), 2024
Linan Yue
Qi Liu
Yichao Du
Li Wang
Weibo Gao
Yanqing An
371
9
0
12 Mar 2024
A Survey on Human-AI Collaboration with Large Foundation Models
Vanshika Vats
Marzia Binta Nizam
Minghao Liu
Ziyuan Wang
Richard Ho
...
Celeste Shen
Rachel Shen
Nafisa Hussain
Kesav Ravichandran
James Davis
LM&MA
618
11
0
07 Mar 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
Yeo Wei Jie
Frank Xing
Xiaoshi Zhong
420
9
0
13 Feb 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
Wei Liu
Yining Qi
Jun Wang
Zhiying Deng
Yuankai Zhang
Chengwei Wang
Ruixuan Li
320
18
0
07 Dec 2023
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
Han Jiang
Junwen Duan
Zhe Qu
Jianxin Wang
339
3
0
04 Nov 2023
D-Separation for Causal Self-Explanation
Neural Information Processing Systems (NeurIPS), 2023
Wei Liu
Jun Wang
Yining Qi
Rui Li
Zhiying Deng
YuanKai Zhang
Yang Qiu
371
26
0
23 Sep 2023
Towards Trustworthy Explanation: On Causal Rationalization
International Conference on Machine Learning (ICML), 2023
Wenbo Zhang
Tong Wu
Yunlong Wang
Yong Cai
Hengrui Cai
CML
513
25
0
25 Jun 2023
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Hu Feng
Zhenxi Lin
Qianli Ma
233
4
0
25 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint
Knowledge Discovery and Data Mining (KDD), 2023
Wei Liu
Jun Wang
Yining Qi
Rui Li
Yang Qiu
Yuankai Zhang
Jie Han
Yixiong Zou
338
18
0
23 May 2023
MGR: Multi-generator Based Rationalization
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Wei Liu
Yining Qi
Jun Wang
Rui Li
Xinyang Li
Yuankai Zhang
Yang Qiu
621
15
0
08 May 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
ACM Computing Surveys (ACM CSUR), 2022
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Bo Pan
382
65
0
07 Dec 2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
International Conference on Computational Linguistics (COLING), 2022
Jiyun Kim
Byounghan Lee
Kyung-ah Sohn
252
21
0
01 Nov 2022
On the Explainability of Natural Language Processing Deep Models
ACM Computing Surveys (ACM CSUR), 2022
Julia El Zini
M. Awad
308
116
0
13 Oct 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification
Shuang Li
Diego Antognini
Boi Faltings
167
1
0
13 May 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers
International Conference on Computational Logic (ICCL), 2022
Zheng Tang
Mihai Surdeanu
505
9
0
25 Apr 2022
A survey on improving NLP models with human explanations
Mareike Hartmann
Daniel Sonntag
LRM
363
26
0
19 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
214
6
0
20 Mar 2022
Making a (Counterfactual) Difference One Rationale at a Time
Neural Information Processing Systems (NeurIPS), 2022
Michael J. Plyler
Michal Green
Min Chi
306
12
0
13 Jan 2022
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
316
49
0
26 Oct 2021
SPECTRA: Sparse Structured Text Rationalization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Nuno M. Guerreiro
André F. T. Martins
180
30
0
09 Sep 2021
Combining Transformers with Natural Language Explanations
Federico Ruggeri
Marco Lippi
Paolo Torroni
412
2
0
02 Sep 2021
Interpreting and improving deep-learning models with reality checks
Chandan Singh
Wooseok Ha
Bin Yu
FAtt
283
4
0
16 Aug 2021
Cross-language Sentence Selection via Data Augmentation and Rationale Training
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Yanda Chen
Chris Kedzie
Suraj Nair
Petra Galuvsvcáková
Rui Zhang
Douglas W. Oard
Kathleen McKeown
223
10
0
04 Jun 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Quzhe Huang
Shengqi Zhu
Yansong Feng
Dongyan Zhao
183
10
0
03 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Computer Vision and Pattern Recognition (CVPR), 2021
C. Chang
George Adam
Anna Goldenberg
OOD
CML
309
42
0
02 Jun 2021
Distribution Matching for Rationalization
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yongfeng Huang
Yujun Chen
Yulun Du
Zhilin Yang
OOD
269
21
0
01 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
International Conference on Machine Learning (ICML), 2021
Yujia Bao
Shiyu Chang
Regina Barzilay
209
22
0
26 May 2021
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
AAAI Conference on Artificial Intelligence (AAAI), 2021
Hongyu Gong
Alberto Valido
Katherine M. Ingram
Giulia Fanti
S. Bhat
D. Espelage
205
14
0
24 May 2021
Do Context-Aware Translation Models Pay the Right Attention?
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Kayo Yin
Patrick Fernandes
Danish Pruthi
Aditi Chaudhary
André F. T. Martins
Graham Neubig
337
40
0
14 May 2021
Rationalization through Concepts
Findings (Findings), 2021
Diego Antognini
Boi Faltings
FAtt
248
24
0
11 May 2021
Attention Forcing for Machine Translation
Qingyun Dou
Yiting Lu
Potsawee Manakul
Xixin Wu
Mark Gales
184
7
0
02 Apr 2021
Nutri-bullets: Summarizing Health Studies by Composing Segments
AAAI Conference on Artificial Intelligence (AAAI), 2021
Darsh J. Shah
L. Yu
Tao Lei
Regina Barzilay
256
11
0
22 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
540
164
0
24 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
514
93
0
03 Feb 2021
Few-Shot Semantic Parsing for New Predicates
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Zhuang Li
Zhuang Li
Shuo Huang
Gholamreza Haffari
NAI
247
10
0
26 Jan 2021
Evaluating Explanations: How much do explanations from the teacher aid students?
Transactions of the Association for Computational Linguistics (TACL), 2020
Danish Pruthi
Rachit Bansal
Bhuwan Dhingra
Livio Baldini Soares
Michael Collins
Zachary Chase Lipton
Graham Neubig
William W. Cohen
FAtt
XAI
397
121
0
01 Dec 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Piyawat Lertvittayakumjorn
Lucia Specia
Francesca Toni
312
57
0
10 Oct 2020
Aligning Faithful Interpretations with their Social Attribution
Transactions of the Association for Computational Linguistics (TACL), 2020
Alon Jacovi
Yoav Goldberg
444
113
0
01 Jun 2020
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