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Xin Lv (吕鑫)
Xin Lv (吕鑫)
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Openke: An open toolkit for knowledge embedding
X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
3722018
Differentiating concepts and instances for knowledge graph embedding
X Lv, L Hou, J Li, Z Liu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1102018
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
X Lv, Y Gu, X Han, L Hou, J Li, Z Liu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
912019
Longbench: A bilingual, multitask benchmark for long context understanding
Y Bai, X Lv, J Zhang, H Lyu, J Tang, Z Huang, Z Du, X Liu, A Zeng, L Hou, ...
arXiv preprint arXiv:2308.14508, 2023
60*2023
Do pre-trained models benefit knowledge graph completion? a reliable evaluation and a reasonable approach
X Lv, Y Lin, Y Cao, L Hou, J Li, Z Liu, P Li, J Zhou
Association for Computational Linguistics, 2022
542022
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
372023
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
X Lv, X Han, L Hou, J Li, Z Liu, W Zhang, Y Zhang, H Kong, S Wu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
362020
Program transfer for answering complex questions over knowledge bases
S Cao, J Shi, Z Yao, X Lv, J Yu, L Hou, J Li, Z Liu, J Xiao
arXiv preprint arXiv:2110.05743, 2021
312021
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
242024
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
Y Cao, X Ji, X Lv, J Li, Yonggang, H Zhang
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
212021
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
152022
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
X Lv, Y Cao, L Hou, J Li, Z Liu, Y Zhang, Z Dai
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
142021
Answering Complex Logical Queries on Knowledge Graphs via Query Tree Optimization
Y Bai, X Lv, J Li, L Hou
International Conference on Machine Learning, 2023, 2022
11*2022
A survey on complex factual question answering
L Zhang, J Zhang, X Ke, H Li, X Huang, Z Shao, S Cao, X Lv
AI Open 4, 1-12, 2023
92023
SQUIRE: a sequence-to-sequence framework for multi-hop knowledge graph reasoning
Y Bai, X Lv, J Li, L Hou, Y Qu, Z Dai, F Xiong
arXiv preprint arXiv:2201.06206, 2022
82022
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
Z Yao, C Li, T Dong, X Lv, J Yu, L Hou, J Li, Y Zhang, Z Dai
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
82021
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
42021
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
J Zhou, X Lv, C Yang, Z Liu, J Li, M Sun
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2020
42020
Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering
X Ke, J Zhang, X Lv, Y Xu, S Cao, C Li, H Chen, J Li
Findings of the Association for Computational Linguistics: EMNLP 2022, 1844-1856, 2022
32022
Korc: Knowledge oriented reading comprehension benchmark for deep text understanding
Z Yao, Y Liu, X Lv, S Cao, J Yu, L Hou, J Li
arXiv preprint arXiv:2307.03115, 2023
22023
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Articles 1–20