Towards Modeling Role-Aware Centrality for Dialogue Summarization. - Xinnian Liang; Chao Bian 006; Shuangzhi Wu; Zhoujun Li 001 (AACL/IJCNLP (2), 2022)

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework. - Junzhuo Li; Xinwei Wu 001; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks. - Weilong Dong; Xinwei Wu 001; Junzhuo Li; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. - Xinnian Liang; Shuangzhi Wu; Chenhao Cui; Jiaqi Bai; Chao Bian 006; Zhoujun Li 001 (EACL, 2023)

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. - Xinwei Wu 001; Junzhuo Li; Minghui Xu; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (EMNLP, 2023)

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models. - Xinnian Liang; Zefan Zhou; Hui Huang 021; Shuangzhi Wu; Tong Xiao; Muyun Yang; Zhoujun Li 001; Chao Bian 006 (CoRR, 2023)

Retrieval-Augmented Classification with Decoupled Representation. - Xinnian Liang; Shuangzhi Wu; Hui Huang 021; Jiaqi Bai; Chao Bian 006; Zhoujun Li 001 (CoRR, 2023)