| 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 | 267* | 2023 |
| Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model C Li, Y Cao, L Hou, J Shi, J Li, TS Chua The 2019 Conference on Empirical Methods in Natural Language Processing and …, 2019 | 192 | 2019 |
| Neural Collective Entity Linking Y Cao, L Hou, J Li, Z Liu The 27th International Conference on Computational Linguistics, 675-686, 2018 | 156 | 2018 |
| A Survey of Knowledge Enhanced Pre-Trained Language Models L Hu, Z Liu, Z Zhao, L Hou, L Nie, J Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 148 | 2023 |
| On Transferability of Prompt Tuning for Natural Language Processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... Annual Conference of the North American Chapter of the Association for …, 2022 | 143 | 2022 |
| MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs J Yu, G Luo, T Xiao, Q Zhong, Y Wang, W Feng, J Luo, C Wang, L Hou, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 138 | 2020 |
| KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base S Cao, J Shi, L Pan, L Nie, Y Xiang, L Hou, J Li, B He, H Zhang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 130* | 2022 |
| Differentiating Concepts and Instances for Knowledge Graph Embedding X Lv, L Hou, J Li, Z Liu The 2018 Conference on Empirical Methods in Natural Language Processing …, 2018 | 127 | 2018 |
| 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 | 123 | 2021 |
| Improving Event Detection via Open-domain Event Trigger Knowledge M Tong, B Xu, S Wang, Y Cao, L Hou, J Li, J Xie Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 117 | 2020 |
| CLEVE: Contrastive Pre-training for Event Extraction Z Wang, X Wang, X Han, Y Lin, L Hou, Z Liu, P Li, J Li, J Zhou Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 113 | 2021 |
| 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 The 2019 Conference on Empirical Methods in Natural Language Processing and …, 2019 | 108 | 2019 |
| TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph J Shi, S Cao, L Hou, J Li, H Zhang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 107 | 2021 |
| 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 | 103 | 2024 |
| 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 | 102 | 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 Findings of the Association for Computational Linguistics: ACL 2022, 3570-3581, 2022 | 84 | 2022 |
| Finding Skill Neurons in Pre-trained Transformer-based Language Models X Wang, K Wen, Z Zhang, L Hou, Z Liu, J Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 74 | 2022 |
| Leven: a large-scale Chinese legal event detection dataset F Yao, C Xiao, X Wang, Z Liu, L Hou, C Tu, J Li, Y Liu, W Shen, M Sun Findings of the 60th Annual Meeting of the Association for Computational …, 2022 | 63 | 2022 |
| RiMOM results for OAEI 2010 Z Wang, X Zhang, L Hou, Y Zhao, J Li, Y Qi, J Tang The 5th International Conference on Ontology Matching, 195-202, 2010 | 62 | 2010 |
| Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks H Jin, L Hou, J Li, T Dong The 2019 Conference on Empirical Methods in Natural Language Processing and …, 2019 | 60 | 2019 |
Juanzi LiTsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn
