Chengyue Jiang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Recurrent Neural Networks

Ontological Knowledge

Top Venues

Publications

Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. AAAI (2024)
Zhuo Chen, Chengyue Jiang, Kewei Tu
Using Interpretation Methods for Model Enhancement. CoRR (2024)
Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. AAAI (2024)
Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu
RoT: Enhancing Large Language Models with Reflection on Search Trees. CoRR (2024)
Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce. CoRR (2023)
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
Do PLMs Know and Understand Ontological Knowledge? CoRR (2023)
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
COMBO: A Complete Benchmark for Open KG Canonicalization. CoRR (2023)
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu
COMBO: A Complete Benchmark for Open KG Canonicalization. EACL (2023)
Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding. CoRR (2023)
Zhuo Chen, Chengyue Jiang, Kewei Tu
Using Interpretation Methods for Model Enhancement. EMNLP (2023)
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu
Do PLMs Know and Understand Ontological Knowledge? ACL (1) (2023)
Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR (2023)
Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. ACL (1) (2023)
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. EMNLP (2022)
Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. CoRR (2022)
Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. CoRR (2022)
Chengyue Jiang, Zijian Jin, Kewei Tu
Neuralizing Regular Expressions for Slot Filling. EMNLP (1) (2021)
Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. EMNLP (1) (2020)
Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoRR (2020)
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
Learning Numeral Embeddings. CoRR (2020)
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
Learning Numeral Embedding. EMNLP (Findings) (2020)
Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoNLL Shared Task (2019)