| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... ACM Computing Surveys (CSUR), 2023 | 184 | 2023 |
| Largeea: Aligning entities for large-scale knowledge graphs C Ge, X Liu, L Chen, B Zheng, Y Gao VLDB 2022, 2021 | 52 | 2021 |
| Clusterea: Scalable entity alignment with stochastic training and normalized mini-batch similarities Y Gao, X Liu, J Wu, T Li, P Wang, L Chen KDD 2022, 421-431, 2022 | 48 | 2022 |
| Knowledge graphs meet multi-modal learning: A comprehensive survey Z Chen, Y Zhang, Y Fang, Y Geng, L Guo, X Chen, Q Li, W Zhang, J Chen, ... arXiv preprint arXiv:2402.05391, 2024 | 44 | 2024 |
| Make it easy: An effective end-to-end entity alignment framework C Ge, X Liu, L Chen, B Zheng, Y Gao SIGIR 2021, 777-786, 2021 | 42 | 2021 |
| Unsupervised entity alignment for temporal knowledge graphs X Liu, J Wu, T Li, L Chen, Y Gao WWW 2023, 2528-2538, 2023 | 40 | 2023 |
| CollaborEM: A self-supervised entity matching framework using multi-features collaboration C Ge, P Wang, L Chen, X Liu, B Zheng, Y Gao IEEE Transactions on Knowledge and Data Engineering 35 (12), 12139-12152, 2021 | 35* | 2021 |
| Distributed representations of entities in open-world knowledge graphs L Guo, Z Chen, J Chen, Y Zhang, Z Sun, Z Bo, Y Fang, X Liu, H Chen, ... Knowledge-Based Systems 290, 111582, 2024 | 16* | 2024 |
| SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales T Xu, S Wu, S Diao, X Liu, X Wang, Y Chen, J Gao EMNLP 2024, 2024 | 14 | 2024 |
| Quiver: Supporting gpus for low-latency, high-throughput gnn serving with workload awareness Z Tan, X Yuan, C He, MK Sit, G Li, X Liu, B Ai, K Zeng, P Pietzuch, L Mai arXiv preprint arXiv:2305.10863, 2023 | 14* | 2023 |
| Real-time workload pattern analysis for large-scale cloud databases J Wang, T Li, A Wang, X Liu, L Chen, J Chen, J Liu, J Wu, F Li, Y Gao VLDB 2024, 2023 | 13 | 2023 |
| SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation X Liu, T Sun, T Xu, F Wu, C Wang, X Wang, J Gao EMNLP 2024, 2024 | 10 | 2024 |
| PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases X Liu, Z Yin, C Zhao, C Ge, L Chen, Y Gao, D Li, Z Wang, G Liang, J Tan, ... ICDE 2022, 2549-2561, 2022 | 8 | 2022 |
| Universal multi-modal entity alignment via iteratively fusing modality similarity paths B Zhu, X Liu, X Mao, Z Chen, L Guo, T Gui, Q Zhang arXiv preprint arXiv:2310.05364, 2023 | 4 | 2023 |
| Multiem: Efficient and effective unsupervised multi-table entity matching X Zeng, P Wang, Y Mao, L Chen, X Liu, Y Gao ICDE 2024, 3421-3434, 2024 | 3 | 2024 |
| Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs X Liu, F Wu, T Xu, Z Chen, Y Zhang, X Wang, J Gao IEEE Data Engineering Bulletin, 2024 | 3 | 2024 |
| Towards Federated RLHF with Aggregated Client Preference for LLMs F Wu, X Liu, H Wang, X Wang, L Su, J Gao ICLR 2025, 2024 | 2* | 2024 |
| Improving causal reasoning in large language models: A survey L Yu, D Chen, S Xiong, Q Wu, Q Liu, D Li, Z Chen, X Liu, L Pan NAACL 2025, 2024 | 1 | 2024 |
Cunxiang WangTsinghua University; ZhipuAI確認したメール アドレス: westlake.edu.cn