Zijie Xu

According to our database, Zijie Xu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Unlearning of Knowledge Graph Embedding via Preference Optimization.

Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji

Proceedings of the ACM Web Conference 2026, 2026

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.

Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.

Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts.

Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.

Ziyu Shang, Peng Wang, Jianghan Liu, Jiajun Liu, Guozheng Li, Zijie Xu, Zhizhao Luo, Xiye Chen, Wenjun Ke

IEEE Trans. Knowl. Data Eng., September, 2025

Acquisition and Application of Novel Knowledge in Large Language Models.

Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

On the Consistency of Commonsense in Large Language Models.

Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Fast and Continual Knowledge Graph Embedding via Incremental LoRA.

Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models.

Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.

Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.

Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Incorporating Schema-Aware Description into Document-Level Event Extraction.

Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News.

Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.

Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A Two-Stage Label Rectification Framework for Noisy Event Extraction.

Zijie Xu, Peng Wang, Ziyu Shang, Jiajun Liu

Proceedings of the Database Systems for Advanced Applications, 2023