A Fine-grained Interpretability Evaluation Benchmark for Neural NLP. - Lijie Wang; Yaozong Shen; Shuyuan Peng; Shuai Zhang; Xinyan Xiao; Hao Liu 026; Hongxuan Tang; Ying Chen 011; Hua Wu 003; Haifeng Wang 001 (CoNLL, 2022)

An Interpretability Evaluation Benchmark for Pre-trained Language Models. - Yaozong Shen; Lijie Wang; Ying Chen 011; Xinyan Xiao; Jing Liu 022; Hua Wu 003 (CoRR, 2022)

IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding. - Peijian Gu; Yaozong Shen; Lijie Wang; Quan Wang 002; Hua Wu 003; Zhendong Mao 001 (EMNLP (Findings), 2023)