| 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 | 218 | 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 | 182 | 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 | 116 | 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 | 51 | 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 | 43 | 2022 |
| 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 | 25 | 2023 |
| 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 | 25 | 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 | 18 | 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 | 11 | 2023 |
| 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 | 10 | 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 | 9 | 2022 |
| LongBench v2: Towards deeper understanding and reasoning on realistic long-context multitasks Y Bai, S Tu, J Zhang, H Peng, X Wang, X Lv, S Cao, J Xu, L Hou, Y Dong, ... arXiv preprint arXiv:2412.15204, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| 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 |
| 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 |
| Pre-training Distillation for Large Language Models: A Design Space Exploration H Peng, X Lv, Y Bai, Z Yao, J Zhang, L Hou, J Li arXiv preprint arXiv:2410.16215, 2024 | 2 | 2024 |
| MAVEN-Fact: A Large-scale Event Factuality Detection Dataset C Li, H Peng, X Wang, Y Qi, L Hou, B Xu, J Li arXiv preprint arXiv:2407.15352, 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 |
| OpenEP: Open-Ended Future Event Prediction Y Guan, H Peng, X Wang, L Hou, J Li arXiv preprint arXiv:2408.06578, 2024 | 1 | 2024 |
| 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 Web Conference 2024, 975-978, 2024 | 1 | 2024 |
Lei Hou (侯磊)Tsinghua UniversityVerifisert e-postadresse på tsinghua.edu.cn