Enhancing Pre-trained Language Model with Lexical Simplification. - Rongzhou Bao; Jiayi Wang; Zhuosheng Zhang 001; Hai Zhao 001 (CoRR, 2020)

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice. - Rongzhou Bao; Jiayi Wang; Hai Zhao 001 (ACL/IJCNLP (Findings), 2021)

Span Fine-tuning for Pre-trained Language Models. - Rongzhou Bao; Zhuosheng Zhang 001; Hai Zhao 001 (EMNLP (Findings), 2021)

Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice. - Rongzhou Bao; Jiayi Wang; Hai Zhao 001 (CoRR, 2021)

Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model. - Jiayi Wang; Rongzhou Bao; Zhuosheng Zhang 001; Hai Zhao 001 (ACL (Findings), 2022)

Rethinking Textual Adversarial Defense for Pre-Trained Language Models. - Jiayi Wang; Rongzhou Bao; Zhuosheng Zhang 001; Hai Zhao 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

MDI: A Debiasing Method Combining Unbiased and Biased Data. - Han Zhao; Qing Cui; Xinyu Li; Rongzhou Bao; Longfei Li; Jun Zhou 011; Zhehao Liu; Jinghua Feng (SIGIR, 2023)