A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). - Zhijing Wu 002; Hua Xu 003 (AAAI, 2020)

Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction. - Zhijing Wu 002; Hua Xu 003 (Knowl. Based Syst., 2020)

An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. - Zhijing Wu 002; Jingliang Fang; Hua Xu 003; Kai Gao (CIKM, 2022)

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. - Zhijing Wu 002; Hua Xu 003; Jingliang Fang; Kai Gao (NAACL-HLT (Findings), 2022)

Trustworthy machine reading comprehension with conditional adversarial calibration. - Zhijing Wu 002; Hua Xu 003 (Appl. Intell., 2023)

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension. - Jingliang Fang; Hua Xu 003; Zhijing Wu 002; Kai Gao; Xiaoyin Che; Haotian Hui (Intell. Syst. Appl., 2023)

Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC. - Songze Li; Zhijing Wu 002; Runmin Cao; Xiaohan Zhang; Yifan Wang; Hua Xu 003; Kai Gao (Intell. Syst. Appl., 2025)