Xiaoze Liu's Homepage

# List of Publications

# Preprints

  1. Towards Federated RLHF with Aggregated Client Preference for LLMs. Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao

  2. Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao

  3. Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen

  4. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. Submitted to ACM Computing Surveys. Cunxiang Wang#, Xiaoze Liu#, Yuanhao Yue#, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

  5. Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths. Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang

  6. Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness. Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter Pietzuch, Luo Mai

# indicates co-first author. Preprints are not listed here.

# 2024

  1. SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. Xiaoze Liu#, Ting Sun#, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

  1. SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

  2. Distributed Representations of Entities in Open-World Knowledge Graphs. Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpo Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang. Knowledge-Based Systems, 2024.

  3. MultiEM: Effective and Efficient Unsupervised Multi-Table Entity Matching. Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao. The 2024 IEEE International Conference on Data Engineering (ICDE), 2024.

# 2023

  1. Unsupervised Entity Alignment for Temporal Knowledge Graphs. Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao. The ACM Web Conference 2023 (WWW), 2023.

  2. Real-time Workload Pattern Analysis for Large-scale Cloud Databases. Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao. The 2023 International Conference on Very Large Data Bases (VLDB), 2023.

# 2022

  1. ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. Yunjun Gao#, Xiaoze Liu#, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen. The 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.

  2. PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases. Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li. The 2022 IEEE International Conference on Data Engineering (ICDE), 2022.

  3. LargeEA: Aligning Entities for Large-scale Knowledge Graphs. Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao. The 2022 International Conference on Very Large Data Bases (VLDB), 2022.

# 2021

  1. Make it Easy: An Effective End-to-End Entity Alignment Framework. Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao. The 2021 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.

  2. CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration. Congcong Ge, Pengfei Wang, Lu Chen, Xiaoze Liu, Baihua Zheng, Yunjun Gao. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.