| Self-supervised learning: Generative or contrastive X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang TKDE 2021, 2021 | 2801 | 2021 |
| GPT Understands, Too X Liu*, Y Zheng*, Z Du, M Ding, Y Qian, Z Yang, J Tang AI Open 2023, 2021 | 2214* | 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 | 2163* | 2021 |
| 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 | 2154 | 2022 |
| Chatglm: A family of large language models from glm-130b to glm-4 all tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 1510* | 2024 |
| 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, 2023 | 1502* | 2023 |
| 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 | 1323 | 2021 |
| 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 NeurIPS 2023, 2023 | 1129 | 2023 |
| AgentBench: Evaluating LLMs as Agents X Liu*, H Yu*, H Zhang*, Y Xu, X Lei, H Lai, Y Gu, H Ding, K Men, K Yang, ... ICLR 2024, 2024 | 1043* | 2024 |
| LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Y Bai, X Lv, J Zhang, H Lyu, J Tang, Z Huang, Z Du, X Liu, A Zeng, L Hou, ... ACL 2024, 2024 | 1026* | 2024 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Dong, C Wang, J Tang KDD 2022, 2022 | 924 | 2022 |
| SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions Z Zhang, L Lei, L Wu, R Sun, Y Huang, C Long, X Liu, X Lei, J Tang, ... ACL 2024, 2024 | 342* | 2024 |
| AgentTuning: Enabling Generalized Agent Abilities for LLMs A Zeng, M Liu, R Lu, B Wang, X Liu, Y Dong, J Tang Findings of ACL 2024, 2024 | 264 | 2024 |
| Language models are open knowledge graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 192 | 2020 |
| AutoWebGLM: A Large Language Model-based Web Navigating Agent H Lai*, X Liu*, IL Iong*, S Yao, Y Chen, P Shen, H Yu, H Zhang, X Zhang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 191* | 2024 |
| 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 | 191 | 2023 |
| 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 | 160 | 2019 |
| 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 | 156 | 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 | 147* | 2021 |
| Black-Box Prompt Optimization: Aligning Large Language Models without Model Training J Cheng*, X Liu*, K Zheng, P Ke, H Wang, Y Dong, J Tang, M Huang ACL 2024, 2024 | 140 | 2024 |
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
