Incorporating Attribution Importance for Improving Faithfulness Metrics

17 May 2023

Papers citing "Incorporating Attribution Importance for Improving Faithfulness Metrics"

29 / 29 papers shown

Title
BF-Max: an Efficient Bit Flipping Decoder with Predictable Decoding Failure Rate Alessio Baldelli Marco Baldi F. Chiaraluce Paolo Santini 102 0 0 11 Jun 2025
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability Joakim Edin Andreas Geert Motzfeldt Casper L. Christensen Tuukka Ruotsalo Lars Maaløe Maria Maistro 125 4 0 15 Aug 2024
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 94 16 0 17 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 208 118 0 22 Sep 2022
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods Chun Sik Chan Huanqi Kong Guanqing Liang 82 53 0 12 Apr 2022
An Empirical Study on Explanations in Out-of-Domain Settings G. Chrysostomou Nikolaos Aletras LRM 69 28 0 28 Feb 2022
Logic Traps in Evaluating Attribution Scores Yiming Ju Yuanzhe Zhang Zhao Yang Zhongtao Jiang Kang Liu Jun Zhao XAI FAtt 101 19 0 12 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 69 18 0 31 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 89 25 0 27 Aug 2021
On the Lack of Robust Interpretability of Neural Text Classifiers Muhammad Bilal Zafar Michele Donini Dylan Slack Cédric Archambeau Sanjiv Ranjan Das K. Kenthapadi AAML 60 21 0 08 Jun 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 85 38 0 06 May 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 76 33 0 18 Apr 2021
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 97 178 0 12 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 55 49 0 09 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 93 225 0 25 Sep 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 82 164 0 30 Apr 2020
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 74 393 0 06 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 700 24,572 0 26 Jul 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 110 686 0 09 Jun 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials Eric P. Lehman Jay DeYoung Regina Barzilay Byron C. Wallace 87 115 0 02 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy Kyle Lo Arman Cohan 180 2,990 0 26 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 152 1,330 0 26 Feb 2019
On the Robustness of Interpretability Methods David Alvarez-Melis Tommi Jaakkola 100 528 0 21 Jun 2018
Word Embedding Perturbation for Sentence Classification Dongxu Zhang Zhichao Yang 51 43 0 22 Apr 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,884 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,027 0 04 Mar 2017
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach L. Arras F. Horn G. Montavon K. Müller Wojciech Samek 77 288 0 23 Dec 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 605 15,907 0 12 Nov 2013