A comprehensive survey of entity alignment for knowledge graphs K Zeng, C Li, L Hou, J Li, L Feng AI Open 2, 1-13, 2021 | 131 | 2021 |
Kola: Carefully benchmarking world knowledge of large language models J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ... arXiv preprint arXiv:2306.09296, 2023 | 116 | 2023 |
Benchmarking foundation models with language-model-as-an-examiner Y Bai, J Ying, Y Cao, X Lv, Y He, X Wang, J Yu, K Zeng, Y Xiao, H Lyu, ... Advances in Neural Information Processing Systems 36, 2024 | 113 | 2024 |
MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs J Yu, Y Wang, Q Zhong, G Luo, Y Mao, K Sun, W Feng, W Xu, S Cao, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 40 | 2021 |
Interactive contrastive learning for self-supervised entity alignment K Zeng, Z Dong, L Hou, Y Cao, M Hu, J Yu, X Lv, L Cao, X Wang, H Liu, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks H Peng, X Wang, J Chen, W Li, Y Qi, Z Wang, Z Wu, K Zeng, B Xu, L Hou, ... arXiv preprint arXiv:2311.08993, 2023 | 25 | 2023 |
Exploring large language models for multi-modal out-of-distribution detection Y Dai, H Lang, K Zeng, F Huang, Y Li arXiv preprint arXiv:2310.08027, 2023 | 17 | 2023 |
The devil is in the details: On the pitfalls of event extraction evaluation H Peng, X Wang, F Yao, K Zeng, L Hou, J Li, Z Liu, W Shen arXiv preprint arXiv:2306.06918, 2023 | 16 | 2023 |
Efficient storage management for aged file systems on persistent memory K Zeng, Y Lu, H Wan, J Shu Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 16 | 2017 |
Preserving knowledge invariance: Rethinking robustness evaluation of open information extraction J Qi, C Zhang, X Wang, K Zeng, J Yu, J Liu, J Sun, Y Chen, L Hou, J Li, ... arXiv preprint arXiv:2305.13981, 2023 | 11 | 2023 |
Maven-arg: Completing the puzzle of all-in-one event understanding dataset with event argument annotation X Wang, H Peng, Y Guan, K Zeng, J Chen, L Hou, X Han, Y Lin, Z Liu, ... arXiv preprint arXiv:2311.09105, 2023 | 10 | 2023 |
Omnievent: A comprehensive, fair, and easy-to-use toolkit for event understanding H Peng, X Wang, F Yao, Z Wang, C Zhu, K Zeng, L Hou, J Li arXiv preprint arXiv:2309.14258, 2023 | 9 | 2023 |
Block decomposition with multi-granularity embedding for temporal knowledge graph completion L Yue, Y Ren, Y Zeng, J Zhang, K Zeng, J Wan International Conference on Database Systems for Advanced Applications, 706-715, 2023 | 7 | 2023 |
Complex expressional characterizations learning based on block decomposition for temporal knowledge graph completion L Yue, Y Ren, Y Zeng, J Zhang, K Zeng, J Wan, M Zhou Knowledge-Based Systems 290, 111591, 2024 | 6 | 2024 |
NVLH: crash-consistent linear hashing for non-volatile memory H Wan, F Li, Z Zhou, K Zeng, J Li, CJ Xue 2018 IEEE 7th Non-Volatile Memory Systems and Applications Symposium (NVMSA …, 2018 | 6 | 2018 |
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment J Qi, K Ji, X Wang, J Yu, K Zeng, L Hou, J Li, B Xu arXiv preprint arXiv:2310.10590, 2023 | 5 | 2023 |
Benchmarking Foundation Models with Language-Model-as-an-Examiner. CoRR abs/2306.04181 (2023) Y Bai, J Ying, Y Cao, X Lv, Y He, X Wang, J Yu, K Zeng, Y Xiao, H Lyu, ... arXiv preprint arXiv:2306.04181 10, 2023 | 5 | 2023 |
Encoding the meaning triangle (object, entity, and concept) as the semantic foundation for entity alignment K Zeng, C Li, Y Qi, X Lv, L Hou, G Peng, J Li, L Feng Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 5 | 2021 |
Llmael: Large language models are good context augmenters for entity linking A Xin, Y Qi, Z Yao, F Zhu, K Zeng, X Bin, L Hou, J Li arXiv preprint arXiv:2407.04020, 2024 | 4 | 2024 |
Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection X Wang, H Zhang, L Cao, K Zeng, Q Li, N Li, L Feng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |