Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification

6 May 2021

Papers citing "Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification"

23 / 23 papers shown

Title
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models Zexing Xu Zhuang Luo Yichuan Li Kyumin Lee S. Rasoul Etesami 38 0 0 28 Jan 2025
On Explaining with Attention Matrices Omar Naim Nicholas Asher 29 1 0 24 Oct 2024
PromptExp: Multi-granularity Prompt Explanation of Large Language Models Ximing Dong Shaowei Wang Dayi Lin Gopi Krishnan Rajbahadur Boquan Zhou Shichao Liu Ahmed E. Hassan AAML LRM 25 1 0 16 Oct 2024
Continuous Risk Prediction Yi Dai 15 1 0 12 Oct 2024
Noise-Free Explanation for Driving Action Prediction Hongbo Zhu Theodor Wulff R. S. Maharjan Jinpei Han Angelo Cangelosi AAML FAtt 25 0 0 08 Jul 2024
Towards a Framework for Evaluating Explanations in Automated Fact Verification Neema Kotonya Francesca Toni 32 5 0 29 Mar 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal Yeo Wei Jie Ranjan Satapathy Erik Cambria 19 5 0 13 Feb 2024
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 26 4 0 29 Dec 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations Shiyuan Huang Siddarth Mamidanna Shreedhar Jangam Yilun Zhou Leilani H. Gilpin LRM MILM ELM 35 66 0 17 Oct 2023
Evaluating Explanation Methods for Vision-and-Language Navigation Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 21 0 0 10 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks Arshia Soltani Moakhar Eugenia Iofinova Elias Frantar Dan Alistarh 32 1 0 06 Oct 2023
Explainability for Large Language Models: A Survey Haiyan Zhao Hanjie Chen Fan Yang Ninghao Liu Huiqi Deng Hengyi Cai Shuaiqiang Wang Dawei Yin Mengnan Du LRM 23 408 0 02 Sep 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics Zhixue Zhao Nikolaos Aletras 16 13 0 17 May 2023
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 16 3 0 07 Dec 2022
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 18 15 0 17 Oct 2022
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection Tulika Bose Nikolaos Aletras Irina Illina Dominique Fohr 11 0 0 18 Sep 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 62 8 0 18 May 2022
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media Yida Mu Pu Niu Nikolaos Aletras 26 12 0 21 Apr 2022
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods Chun Sik Chan Huanqi Kong Guanqing Liang 9 50 0 12 Apr 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test Y. Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 118 42 0 28 Jan 2022
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 26 16 0 31 Aug 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 26 14 0 16 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021