R-Drop: Regularized Dropout for Neural Networks. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Yue Wang 039; Qi Meng; Tao Qin 001; Wei Chen 034; Min Zhang 005; Tie-Yan Liu (NeurIPS, 2021)

Towards Better Hierarchical Text Classification with Data Generation. - Yue Wang 039; Dan Qiao; Juntao Li; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (ACL (Findings), 2023)

G-SPEED: General SParse Efficient Editing MoDel. - Haoke Zhang; Yue Wang 039; Juntao Li; Xiabing Zhou; Min Zhang 005 (EMNLP (Findings), 2023)

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. - Yue Wang 039; Xinrui Wang; Juntao Li; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (CoRR, 2023)

Are the BERT family zero-shot learners? A study on their potential and limitations. - Yue Wang 039; Lijun Wu 003; Juntao Li; Xiaobo Liang; Min Zhang 005 (Artif. Intell., 2023)

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. - Yue Wang 039; Zilong Zheng; Juntao Li; Zhihui Liu; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (LREC/COLING, 2024)

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. - Yue Wang 039; Zilong Zheng; Zecheng Tang; Juntao Li; Zhihui Liu; Kunlong Chen; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Min Zhang 005 (WSDM, 2024)

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. - Dan Qiao; Yi Su 006; Pinzheng Wang; Jing Ye; Wenjing Xie; Yuechi Zhou; Yuyang Ding; Zecheng Tang; Jikai Wang; Yixin Ji; Yue Wang 039; Pei Guo; et al. (CoRR, 2024)

Randomness Regularization With Simple Consistency Training for Neural Networks. - Juntao Li; Xiaobo Liang; Lijun Wu 003; Yue Wang 039; Qi Meng; Tao Qin 001; Min Zhang 005; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

mathcalA³: Automatic Alignment Framework for Attributed Text Generation. - Yue Wang 039; Haoke Zhang; Juntao Li; Jinxiong Chang; Min Zhang 005 (ACL (1), 2025)