Chengyue Jiang

According to our database, Chengyue Jiang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoT: Enhancing Large Language Models with Reflection on Search Trees.

Wenyang Hui, Chengyue Jiang, Yan Wang, Kewei Tu

CoRR, 2024

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce.

Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.

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

CoRR, 2023

Using Interpretation Methods for Model Enhancement.

Zhuo Chen, Chengyue Jiang, Kewei Tu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COMBO: A Complete Benchmark for Open KG Canonicalization.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Do PLMs Know and Understand Ontological Knowledge?

Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.

Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Neuralizing Regular Expressions for Slot Filling.

Chengyue Jiang, Zijian Jin, Kewei Tu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning Numeral Embeddings.

Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu

CoRR, 2020

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks.

Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Numeral Embedding.

Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.

Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019