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1909.07913
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Learning to Deceive with Attention-Based Explanations
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
17 September 2019
Danish Pruthi
Mansi Gupta
Bhuwan Dhingra
Graham Neubig
Zachary Chase Lipton
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Papers citing
"Learning to Deceive with Attention-Based Explanations"
50 / 109 papers shown
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Vera Demberg
281
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Guy Kaplan
Michael Toker
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Yifan Wang
Sukrut Rao
Ji-Ung Lee
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337
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18 Feb 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
International Conference on Applications of Natural Language to Data Bases (NLDB), 2025
Duc Hau Nguyen
Cyrielle Mallart
Guillaume Gravier
Pascale Sébillot
345
1
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22 Jan 2025
Explanation Regularisation through the Lens of Attributions
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Wilker Aziz
Ivan Titov
611
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23 Jul 2024
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models
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Peyman Adibi
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350
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21 Jul 2024
Validating Mechanistic Interpretations: An Axiomatic Approach
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Ravi Mangal
Zifan Wang
Saranya Vijayakumar
Corina S. Pasareanu
Somesh Jha
378
1
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18 Jul 2024
InternalInspector
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2
I^2
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2
: Robust Confidence Estimation in LLMs through Internal States
Mohammad Beigi
Ying Shen
Runing Yang
Zihao Lin
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Ankith Mohan
Jianfeng He
Ming Jin
Chang-Tien Lu
Lifu Huang
HILM
300
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17 Jun 2024
PEACH: Pretrained-embedding Explanation Across Contextual and Hierarchical Structure
Feiqi Cao
S. Han
Hyunsuk Chung
334
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21 Apr 2024
Towards a Framework for Evaluating Explanations in Automated Fact Verification
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Francesca Toni
326
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29 Mar 2024
From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
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Guangming Huang
Yingya Li
Shoaib Jameel
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350
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Hanjie Chen
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315
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Xiuzhen Zhang
Jey Han Lau
317
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13 Feb 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
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362
7
0
22 Dec 2023
Interpretability Illusions in the Generalization of Simplified Models
Dan Friedman
Andrew Kyle Lampinen
Lucas Dixon
Danqi Chen
Asma Ghandeharioun
399
20
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06 Dec 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael
Walter J. Scheirer
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304
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27 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Conference on Computational Natural Language Learning (CoNLL), 2023
Mohammad Reza Ghasemi Madani
Pasquale Minervini
310
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22 Oct 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
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Sendong Zhao
Hao Wang
Yuhan Chen
Rui Bai
Zewen Qiang
Muzhen Cai
Bing Qin
205
1
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20 Oct 2023
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023
Timothee Mickus
Ananda Sreenidhi
257
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10 Oct 2023
Evaluating Explanation Methods for Vision-and-Language Navigation
European Conference on Artificial Intelligence (ECAI), 2023
Guanqi Chen
Lei Yang
Guanhua Chen
Jia Pan
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290
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10 Oct 2023
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Zihan Yu
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Zhen Wu
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502
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08 Oct 2023
ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision Transformer
Seokhyun Byun
Won-Jo Lee
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261
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04 Oct 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks
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Jennifer Hsia
Danish Pruthi
Aarti Singh
Zachary Chase Lipton
259
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28 Aug 2023
Decoding Layer Saliency in Language Transformers
International Conference on Machine Learning (ICML), 2023
Elizabeth M. Hou
Greg Castañón
MILM
342
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09 Aug 2023
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut
Italian National Conference on Sensors (INS), 2023
Yingjie Niu
Ming Ding
Maoning Ge
Robin Karlsson
Yuxiao Zhang
K. Takeda
ViT
184
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18 Jul 2023
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis
Asian Conference on Machine Learning (ACML), 2023
Dongming Wu
Lulu Wen
Chao Chen
Zhaoshu Shi
252
6
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20 Jun 2023
Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
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Akashaditya Das
W. Beardall
Yiren Zhao
Guy-Bart Stan
272
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08 Jun 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
202
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Javier Ferrando
Gerard I. Gállego
Ioannis Tsiamas
Marta R. Costa-jussá
196
54
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21 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Fanny Jourdan
Agustin Picard
Thomas Fel
Laurent Risser
Jean-Michel Loubes
Nicholas M. Asher
295
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0
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Faithful Chain-of-Thought Reasoning
International Joint Conference on Natural Language Processing (IJCNLP), 2023
Qing Lyu
Shreya Havaldar
Adam Stein
Li Zhang
D. Rao
Eric Wong
Marianna Apidianaki
Chris Callison-Burch
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640
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Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
243
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MEGAN: Multi-Explanation Graph Attention Network
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Luca Torresi
Patrick Reiser
Pascal Friederich
232
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ViT-CX: Causal Explanation of Vision Transformers
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Weiyan Xie
Xiao-hui Li
Caleb Chen Cao
Nevin L.Zhang
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429
38
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06 Nov 2022
Salience Allocation as Guidance for Abstractive Summarization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fei Wang
Kaiqiang Song
Hongming Zhang
Lifeng Jin
Sangwoo Cho
Wenlin Yao
Xiaoyang Wang
Muhao Chen
Dong Yu
206
43
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22 Oct 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
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Julia El Zini
M. Awad
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237
2
0
17 Oct 2022
StyLEx: Explaining Style Using Human Lexical Annotations
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Luan Tuyen Chau
436
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On the Explainability of Natural Language Processing Deep Models
ACM Computing Surveys (ACM CSUR), 2022
Julia El Zini
M. Awad
312
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Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
International Conference on Human Factors in Computing Systems (CHI), 2022
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
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552
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Towards Faithful Model Explanation in NLP: A Survey
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Chris Callison-Burch
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639
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Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation
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Elena Voita
André F. T. Martins
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364
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René Vidal
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Denis Paperno
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313
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Maria De-Arteaga
Niklas Kuehl
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305
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Oren Barkan
Edan Hauon
Avi Caciularu
Ori Katz
Itzik Malkiel
Omri Armstrong
Noam Koenigstein
275
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Araz Taeihagh
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170
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Chitrank Gupta
Venelin Kovatchev
Matthew Lease
Junjie Li
234
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N. Chatterjee
S. K. Saha
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255
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Gerard I. Gállego
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