Evaluating Saliency Methods for Neural Language Models

12 April 2021

Papers citing "Evaluating Saliency Methods for Neural Language Models"

7 / 7 papers shown

Title
Evaluating Explanation Methods for Vision-and-Language Navigation Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 21 0 0 10 Oct 2023
An Interpretability Evaluation Benchmark for Pre-trained Language Models Ya-Ming Shen Lijie Wang Ying Chen Xinyan Xiao Jing Liu Hua-Hong Wu 27 4 0 28 Jul 2022
Counterfactual Evaluation for Explainable AI Yingqiang Ge Shuchang Liu Zelong Li Shuyuan Xu Shijie Geng Yunqi Li Juntao Tan Fei Sun Yongfeng Zhang CML 20 13 0 05 Sep 2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation Lijie Wang Hao Liu Shu-ping Peng Hongxuan Tang Xinyan Xiao Ying Chen Hua-Hong Wu Haifeng Wang 17 5 0 30 Aug 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 32 169 0 13 Jan 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 879 0 03 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018