KEPLER: A unified model for knowledge embedding and pre-trained language representation X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang Transactions of the Association for Computational Linguistics 9, 176-194, 2021 | 351 | 2021 |
Adversarial training for weakly supervised event detection X Wang, X Han, Z Liu, M Sun, P Li Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 123 | 2019 |
MAVEN: A Massive General Domain Event Detection Dataset X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 91 | 2020 |
HMEAE: Hierarchical modular event argument extraction X Wang, Z Wang, X Han, Z Liu, J Li, P Li, M Sun, J Zhou, X Ren Proceedings of the 2019 Conference on empirical methods in natural language …, 2019 | 77 | 2019 |
CPM: A large-scale generative Chinese pre-trained language model Z Zhang, X Han, H Zhou, P Ke, Y Gu, D Ye, Y Qin, Y Su, H Ji, J Guan, F Qi, ... AI Open 2, 93-99, 2021 | 68 | 2021 |
Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv:2203.06904, 2022 | 64 | 2022 |
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 | 50 | 2021 |
Adversarial multi-lingual neural relation extraction X Wang, X Han, Y Lin, Z Liu, M Sun Proceedings of the 27th International Conference on Computational …, 2018 | 44 | 2018 |
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, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 43* | 2022 |
Train No Evil: Selective Masking for Task-guided Pre-training Y Gu, Z Zhang, X Wang, Z Liu, M Sun Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 39 | 2020 |
Exploring Universal Intrinsic Task Subspace via Prompt Tuning Y Qin, X Wang, Y Su, Y Lin, N Ding, J Yi, W Chen, Z Liu, J Li, L Hou, P Li, ... arXiv e-prints, arXiv: 2110.07867, 2021 | 19* | 2021 |
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 | 9 | 2022 |
Neural Gibbs sampling for joint event argument extraction X Wang, S Jia, X Han, Z Liu, J Li, P Li, J Zhou Proceedings of the 1st conference of the asia-pacific chapter of the …, 2020 | 7 | 2020 |
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 Association for Computational Linguistics: ACL 2022, 183-201, 2022 | 6 | 2022 |
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ... arXiv preprint arXiv:2112.13610, 2021 | 6 | 2021 |
Sub-Character Tokenization for Chinese Pretrained Language Models C Si, Z Zhang, Y Chen, F Qi, X Wang, Z Liu, M Sun arXiv preprint arXiv:2106.00400, 2021 | 6* | 2021 |
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models H Peng, X Wang, S Hu, H Jin, L Hou, J Li, Z Liu, Q Liu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction X Wang, Y Chen, N Ding, H Peng, Z Wang, Y Lin, X Han, L Hou, J Li, Z Liu, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
Adversarial language games for advanced natural language intelligence Y Yao, H Zhong, Z Zhang, X Han, X Wang, K Zhang, C Xiao, G Zeng, Z Liu, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14248 …, 2021 | 3 | 2021 |
ChatLog: Recording and Analyzing ChatGPT Across Time S Tu, C Li, J Yu, X Wang, L Hou, J Li arXiv preprint arXiv:2304.14106, 2023 | | 2023 |