Towards Faithful Explanations for Text Classification with Robustness
Improvement and Explanation Guided Training

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training

29 December 2023

Baotian Hu

Papers citing "Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training"

6 / 6 papers shown

Title
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability Joakim Edin Andreas Geert Motzfeldt Casper L. Christensen Tuukka Ruotsalo Lars Maaløe Maria Maistro 32 3 0 15 Aug 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records Joakim Edin Maria Maistro Lars Maaløe Lasse Borgholt Jakob Drachmann Havtorn Tuukka Ruotsalo FAtt 34 2 0 13 Jun 2024
The Effect of Model Size on LLM Post-hoc Explainability via LIME Henning Heyen Amy Widdicombe Noah Y. Siegel Maria Perez-Ortiz Philip C. Treleaven LRM 27 1 0 08 May 2024
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 115 75 0 14 Nov 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 279 170 0 24 Oct 2020