Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. - Xin Zhou 012; Ruotian Ma; Yicheng Zou; Xuanting Chen; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui (IJCAI, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Lin Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Zhang Lin; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (1), 2023)

Coarse-to-fine Few-shot Learning for Named Entity Recognition. - Ruotian Ma; Zhang Lin; Xuanting Chen; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (Findings), 2023)

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. - Xuanting Chen; Junjie Ye; Can Zu; Nuo Xu; Rui Zheng; Minlong Peng; Jie Zhou 015; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. - Junjie Ye; Xuanting Chen; Nuo Xu; Can Zu; Zekai Shao; Shichun Liu; Yuhan Cui; Zeyang Zhou; Chao Gong 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 2023)

Assessing the potential for traffic carbon emission reductions through residential travel mode shifts: insights from massive vehicle trajectory data and scenario simulations. - Shaoying Li; Shaoli Li; Shuyuan Xu; Hanwen Xu; Xuanting Chen; Quan Mu; Zhangzhi Tan (Int. J. Appl. Earth Obs. Geoinformation, 2025)