| FewRel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation X Han, H Zhu, P Yu, Z Wang, Y Yao, Z Liu, M Sun Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 613 | 2018 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 593 | 2021 |
| DocRED: A large-scale document-level relation extraction dataset Y Yao*, D Ye*, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 480 | 2019 |
| CPT: Colorful prompt tuning for pre-trained vision-language models Y Yao*, A Zhang*, Z Zhang, Z Liu, TS Chua, M Sun arXiv preprint arXiv:2109.11797, 2021 | 193 | 2021 |
| OpenNRE: An open and extensible toolkit for neural relation extraction X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 174 | 2019 |
| Onion: A simple and effective defense against textual backdoor attacks F Qi, Y Chen, M Li, Y Yao, Z Liu, M Sun Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2020 | 155 | 2020 |
| Turn the combination lock: Learnable textual backdoor attacks via word substitution F Qi*, Y Yao*, S Xu*, Z Liu, M Sun Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 98 | 2021 |
| A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals Z Zeng*, Y Yao*, Z Liu, M Sun Nature communications 13 (1), 1-11, 2022 | 76 | 2022 |
| CPM-2: Large-scale cost-effective pre-trained language models Z Zhang, Y Gu, X Han, S Chen, C Xiao, Z Sun, Y Yao, F Qi, J Guan, P Ke, ... AI Open 2, 216-224, 2021 | 75 | 2021 |
| Open relation extraction: Relational knowledge transfer from supervised data to unsupervised data R Wu*, Y Yao*, X Han, R Xie, Z Liu, F Lin, L Lin, M Sun Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 66 | 2019 |
| Fine-Grained Scene Graph Generation with Data Transfer A Zhang*, Y Yao*, Q Chen, W Ji, Z Liu, M Sun, TS Chua Proceedings of the 2022 European Conference on Computer Vision, 2022 | 60 | 2022 |
| 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, ... ICLR 2024, 2023 | 53 | 2023 |
| Knowledge transfer via pre-training for recommendation: A review and prospect Z Zeng, C Xiao, Y Yao, R Xie, Z Liu, F Lin, L Lin, M Sun Frontiers in big Data 4, 602071, 2021 | 41 | 2021 |
| PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models Y Yao*, Q Chen*, A Zhang, W Ji, Z Liu, TS Chua, M Sun Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 40 | 2022 |
| Visual distant supervision for scene graph generation Y Yao*, A Zhang*, X Han, M Li, C Weber, Z Liu, S Wermter, M Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |
| Meta-Information Guided Meta-Learning for Few-Shot Relation Classification B Dong*, Y Yao*, R Xie, T Gao, X Han, Z Liu, F Lin, L Lin, M Sun Proceedings of the 28th International Conference on Computational …, 2020 | 37 | 2020 |
| Transfer visual prompt generator across llms A Zhang, H Fei, Y Yao, W Ji, L Li, Z Liu, TS Chua NeurIPS 2023, 2023 | 35 | 2023 |
| Denoising relation extraction from document-level distant supervision C Xiao, Y Yao, R Xie, X Han, Z Liu, M Sun, F Lin, L Lin Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 33 | 2020 |
| Uprec: User-aware pre-training for recommender systems C Xiao, R Xie, Y Yao, Z Liu, M Sun, X Zhang, L Lin arXiv preprint arXiv:2102.10989, 2021 | 32 | 2021 |
| Open hierarchical relation extraction K Zhang*, Y Yao*, R Xie, X Han, Z Liu, F Lin, L Lin, M Sun Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 29 | 2021 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn
