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Xuanting Chen
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2020 – today
- 2023
- [c4]Ruotian Ma, Zhang Lin, Xuanting Chen, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen:
Coarse-to-fine Few-shot Learning for Named Entity Recognition. ACL (Findings) 2023: 4115-4129 - [c3]Ruotian Ma, Xuanting Chen, Zhang Lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen:
Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. ACL (1) 2023: 5959-5979 - [i4]Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR abs/2303.00293 (2023) - [i3]Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang:
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR abs/2303.10420 (2023) - 2022
- [c2]Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu:
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. COLING 2022: 7053-7064 - [c1]Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui:
Searching for Optimal Subword Tokenization in Cross-domain NER. IJCAI 2022: 4289-4295 - [i2]Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang:
Searching for Optimal Subword Tokenization in Cross-domain NER. CoRR abs/2206.03352 (2022) - [i1]Ruotian Ma, Xuanting Chen, Lin Zhang, Tao Gui, Qi Zhang, Xuanjing Huang:
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. CoRR abs/2210.04676 (2022)
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