| Learning from context or names? an empirical study on neural relation extraction H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou arXiv preprint arXiv:2010.01923, 2020 | 188 | 2020 |
| More data, more relations, more context and more openness: A review and outlook for relation extraction X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou arXiv preprint arXiv:2004.03186, 2020 | 153 | 2020 |
| 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 | 76 | 2023 |
| 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, ... arXiv preprint arXiv:2211.07342, 2022 | 33 | 2022 |
| 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 arXiv preprint arXiv:2211.04079, 2022 | 28 | 2022 |
| Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation H Zhu, H Peng, Z Lyu, L Hou, J Li, J Xiao Expert Systems with Applications 215, 119369, 2023 | 13 | 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 | 10 | 2023 |
| 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 | 7 | 2023 |
| A challenge on semi-supervised and reinforced task-oriented dialog systems Z Ou, J Feng, J Li, Y Li, H Liu, H Peng, Y Huang, J Zhao arXiv preprint arXiv:2207.02657, 2022 | 7 | 2022 |
| Information extraction and human-robot dialogue towards real-life tasks: A baseline study with the mobilecs dataset H Liu, H Peng, Z Ou, J Li, Y Huang, J Feng arXiv preprint arXiv:2209.13464, 2022 | 6 | 2022 |
| 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 | 5 | 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 | 4 | 2023 |
| TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation H Zhu, H Peng, Z Lyu, L Hou, J Li, J Xiao arXiv preprint arXiv:2109.01048, 2021 | 4 | 2021 |
| ADELIE: Aligning Large Language Models on Information Extraction Y Qi, H Peng, X Wang, B Xu, L Hou, J Li arXiv preprint arXiv:2405.05008, 2024 | 2 | 2024 |
| Multimodal entity tagging with multimodal knowledge base H Peng, H Li, L Hou, J Li, C Qiao arXiv preprint arXiv:2201.00693, 2021 | 2 | 2021 |
| Event GDR: Event-Centric Generative Document Retrieval Y Guan, D Liu, J Ma, H Peng, X Wang, L Hou, R Li Companion Proceedings of the ACM on Web Conference 2024, 975-978, 2024 | | 2024 |
| Event-level Knowledge Editing H Peng, X Wang, C Li, K Zeng, J Duo, Y Cao, L Hou, J Li arXiv preprint arXiv:2402.13093, 2024 | | 2024 |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
