| Legal judgment prediction via topological learning H Zhong, Z Guo, C Tu, C Xiao, Z Liu, M Sun EMNLP 2018, 3540-3549, 2018 | 396 | 2018 |
| How does NLP benefit legal system: A summary of legal artificial intelligence H Zhong, C Xiao, C Tu, T Zhang, Z Liu, M Sun ACL 2020, 2020 | 395 | 2020 |
| Cail2018: A large-scale legal dataset for judgment prediction C Xiao, H Zhong, Z Guo, C Tu, Z Liu, M Sun, Y Feng, X Han, Z Hu, ... arXiv preprint arXiv:1807.02478, 2018 | 324 | 2018 |
| Tool learning with foundation models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ... ACM Computing Surveys 57 (4), 1-40, 2024 | 254 | 2024 |
| Lawformer: A pre-trained language model for chinese legal long documents C Xiao, X Hu, Z Liu, C Tu, M Sun AI Open 2021, SMP Best Paper, 2021 | 250 | 2021 |
| 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 AACL 2020, 2020 | 176 | 2020 |
| Jec-qa: A legal-domain question answering dataset H Zhong, C Xiao, C Tu, T Zhang, Z Liu, M Sun AAAI 2020 34 (05), 9701-9708, 2020 | 154 | 2020 |
| 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 | 92 | 2021 |
| Cail2019-scm: A dataset of similar case matching in legal domain C Xiao, H Zhong, Z Guo, C Tu, Z Liu, M Sun, T Zhang, X Han, Z Hu, ... arXiv preprint arXiv:1911.08962, 2019 | 82 | 2019 |
| 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 ACL 2022 Findings, 2022 | 69 | 2022 |
| 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 | 50 | 2021 |
| Denoising relation extraction from document-level distant supervision C Xiao, Y Yao, R Xie, X Han, Z Liu, M Sun, F Lin, L Lin EMNLP 2020, 2020 | 41 | 2020 |
| Infllm: Training-free long-context extrapolation for llms with an efficient context memory C Xiao, P Zhang, X Han, G Xiao, Y Lin, Z Zhang, Z Liu, M Sun NeurIPS 2024, 2024 | 39* | 2024 |
| Uprec: User-aware pre-training for recommender systems C Xiao, R Xie, Y Yao, Z Liu, M Sun, X Zhang, L Lin AI Open 2023, 2021 | 37 | 2021 |
| Overview of CAIL2018: Legal judgment prediction competition H Zhong, C Xiao, Z Guo, C Tu, Z Liu, M Sun, Y Feng, X Han, Z Hu, ... arXiv preprint arXiv:1810.05851, 2018 | 37 | 2018 |
| Emergent Modularity in Pre-trained Transformers Z Zhang, Z Zeng, Y Lin, C Xiao, X Wang, X Han, Z Liu, R Xie, M Sun, ... ACL 2023 Findings, 2023 | 25 | 2023 |
| Equality before the law: legal judgment consistency analysis for fairness Y Wang, C Xiao, S Ma, H Zhong, C Tu, T Zhang, Z Liu, M Sun arXiv preprint arXiv:2103.13868, 2021 | 24 | 2021 |
| ReLU Wins: Discovering Efficient Activation Functions for Sparse LLMs Z Zhang, Y Song, G Yu, X Han, Y Lin, C Xiao, C Song, Z Liu, Z Mi, M Sun arXiv preprint arXiv:2402.03804, 2024 | 22 | 2024 |
| Plug-and-play knowledge injection for pre-trained language models Z Zhang, Z Zeng, Y Lin, H Wang, D Ye, C Xiao, X Han, Z Liu, P Li, M Sun, ... ACL 2023, 2023 | 17 | 2023 |
| 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, ... | 16 | 2021 |
Zhiyuan LiuAssociate Professor, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨