| Self-supervised learning: Generative or contrastive X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang TKDE 2021, 2021 | 815 | 2021 |
| GPT Understands, Too X Liu*, Y Zheng*, Z Du, M Ding, Y Qian, Z Yang, J Tang arXiv preprint arXiv:2103.10385, 2021 | 485* | 2021 |
| 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 | 266 | 2021 |
| P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks X Liu*, K Ji*, Y Fu*, Z Du, Z Yang, J Tang ACL 2022, 2021 | 255* | 2021 |
| Oag: Toward linking large-scale heterogeneous entity graphs F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, B Shao, ... KDD 2019, 2019 | 87 | 2019 |
| GLM: General Language Model Pretraining with Autoregressive Blank Infilling Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang ACL 2022, 2022 | 80* | 2022 |
| Language models are open knowledge graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 75 | 2020 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Dong, C Wang, J Tang KDD 2022, 2022 | 57 | 2022 |
| GLM-130B: An Open Bilingual Pre-trained Model A Zeng*, X Liu*, Z Du, Z Wang, H Lai, M Ding, Z Yang, Y Xu, W Zheng, ... ICLR 2023, 2022 | 46* | 2022 |
| Wudaocorpora: A super large-scale chinese corpora for pre-training language models S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang AI Open 2, 65-68, 2021 | 32* | 2021 |
| SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs X Liu*, H Hong*, X Wang, Z Chen, E Kharlamov, Y Dong, J Tang WWW 2022, 2022 | 28* | 2022 |
| OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services X Liu, D Yin, J Zheng, X Zhang, P Zhang, H Yang, Y Dong, J Tang KDD 2022, 2022 | 26* | 2022 |
| Zero-Shot Information Extraction as a Unified Text-to-Triple Translation C Wang, X Liu, Z Chen, H Hong, J Tang, D Song EMNLP 2021, 2021 | 21 | 2021 |
| DeepStruct: Pretraining of Language Models for Structure Prediction C Wang*, X Liu*, Z Chen*, H Hong, J Tang, D Song Findings of ACL 2022, 2022 | 16 | 2022 |
| Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries X Liu, S Zhao, K Su, Y Cen, J Qiu, M Zhang, W Wu, Y Dong, J Tang KDD 2022, 2022 | 9 | 2022 |
| Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers WL Tam*, X Liu*, K Ji, L Xue, X Zhang, Y Dong, J Liu, M Hu, J Tang arXiv preprint arXiv:2207.07087, 2022 | 6 | 2022 |
| OAG know : Self-Supervised Learning for Linking Knowledge Graphs X Liu, L Mian, Y Dong, F Zhang, J Zhang, J Tang, P Zhang, J Gong, ... IEEE Transactions on Knowledge & Data Engineering 35 (02), 1895-1908, 2023 | 5 | 2023 |
| ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation J Xu*, X Liu*, Y Wu, Y Tong, Q Li, M Ding, J Tang, Y Dong arXiv preprint arXiv:2304.05977, 2023 | 3 | 2023 |
| Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration K Yang, X Liu, K Men, A Zeng, Y Dong, J Tang arXiv preprint arXiv:2305.15262, 2023 | | 2023 |
| GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Z Hou, Y He, Y Cen, X Liu, Y Dong, E Kharlamov, J Tang WWW 2023, 2023 | | 2023 |
Tang JieProfessor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
