Publications

2025

Large Language Model-Based Event Relation Extraction with Rationales , In Proceedings of The 31st International Conference on Computational Linguistics, COLING 2025. [PDF] [Code]
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng .

2024

A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning , The 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024. [PDF] [Code]
Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou .

Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs , The 30th China Conference on Information Retrieval, CCIR 2024. [PDF] [Code]
Miao Su, Zixuan Li, Xiaolong Jin and Jiafeng Guo .

Retrieval-Augmented Code Generation for Universal Information Extraction , The 13th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2024. [PDF] [Code]
Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng .

An In-Context Schema Understanding Method for Knowledge Base Question Answering , The 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024. [PDF]
Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng .

Nested Event Extraction upon Pivot Element Recogniton , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024. [PDF] [Code]
Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng .

Self-Improvement Programming for Temporal Knowledge Graph Question Answering , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024. [PDF]
Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin and Yongjun Xu .

Selective Temporal Knowledge Graph Reasoning , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024. [PDF]
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo and Xueqi Cheng .

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction , The 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024. [PDF] [Code]
Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng .

Unlocking the Power of Large Language Models for Entity Alignment , The 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024. [PDF] [Code]
Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang .

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets , The Web Conf 2024. [PDF] [Code]
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Fei Sun, Zixuan Li, Zhichao Shi, Jian Guo, Huawei Shen .

2023

ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction , Arxiv. [PDF]
Zhilei Hu, Zixuan Li, Daozhu Xu, Long Bai, Cheng Jin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng .

Temporal Knowledge Graph Reasoning Based on N-tuple Modeling , The 2023 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP'2023. [PDF]
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng .

Semantic Structure Enhanced Event Causality Identification , Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics, ACL'2023. [PDF]
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo and Xueqi Cheng .

Rich Event Modeling for Script Event Prediction , Proceedings of the 37th AAAI Conference on Artificial Intelligence. [PDF] [Code]
Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng .

时态知识图谱的推理研究综述 , 计算机学报'2023.
沈英汉, 江旭晖, 王元卓, 李紫宣, 李子健, 谭鹤翔, 沈华伟 .

2022

大数据分析处理技术与应用前沿 , COMMUNICATIONS OF THE CCF，中国计算机学会通讯.
靳小龙, 李紫宣, 程学旗, 任伟澄 .

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning , EMNLP'2022 Findings. [PDF] [Code]
Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng .

基于多历史序列联合演化建模的两阶段时序知识图谱推理 , 中文信息学报'2022. [PDF]
李紫宣, 官赛萍, 靳小龙, 白龙, 郭嘉丰, 程学旗 .

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning , ACL'2022. [PDF] [Code]
Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng .

What is Event Knowledge Graph: A Survey , TKDE'2022. [PDF]
Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo .

2021

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction , EMNLP'2021. [PDF] [Code]
Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng .

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning , SIGIR'2021. [PDF] [Code]
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng .

Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning , ACL'2021 findings. [PDF]
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai .

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs , ACL'2021. [PDF]
Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng .

2019

Self-learning and embedding based entity alignment , KIS'2019. [PDF]
Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng .

2018

Path reasoning over knowledge graph: A multi-agent and reinforcement learning based method , ICDM Workshop'2018. [PDF] [Code]
Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng .

2017

The Open Knowledge System for TAC KBP 2017 , TAC-KBP. [PDF]
Zixuan Li, Yunqi Qiu, Fan Qiu, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Haoran Yan, Kailin Zhao, Jialin Su .