| GPT understands, too X Liu, Y Zheng, Z Du, M Ding, Y Qian, Z Yang, J Tang AI Open 5, 208-215, 2024 | 1642* | 2024 |
| Glm: General language model pretraining with autoregressive blank infilling Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang arXiv preprint arXiv:2103.10360, 2021 | 1568 | 2021 |
| P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks X Liu, K Ji, Y Fu, WL Tam, Z Du, Z Yang, J Tang arXiv preprint arXiv:2110.07602, 2021 | 1392 | 2021 |
| 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, X Xia, ... arXiv preprint arXiv:2210.02414, 2022 | 1109* | 2022 |
| 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, ... arXiv preprint arXiv:2308.14508, 2023 | 364* | 2023 |
| 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 | 279 | 2024 |
| 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, ... arXiv preprint arXiv:2308.03688, 2023 | 165* | 2023 |
| Sequential scenario-specific meta learner for online recommendation Z Du, X Wang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 143 | 2019 |
| 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 | 114* | 2021 |
| Policy-gradient training of fair and unbiased ranking functions H Yadav, Z Du, T Joachims Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 95* | 2021 |
| CogKR: Cognitive graph for multi-hop knowledge reasoning Z Du, C Zhou, J Yao, T Tu, L Cheng, H Yang, J Zhou, J Tang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1283-1295, 2021 | 70* | 2021 |
| Understanding emergent abilities of language models from the loss perspective Z Du, A Zeng, Y Dong, J Tang arXiv preprint arXiv:2403.15796, 2024 | 32 | 2024 |
| WebGLM: towards an efficient web-enhanced question answering system with human preferences X Liu, H Lai, H Yu, Y Xu, A Zeng, Z Du, P Zhang, Y Dong, J Tang Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 22 | 2023 |
| Polar: Attention-based cnn for one-shot personalized article recommendation Z Du, J Tang, Y Ding Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 19 | 2019 |
| Sciglm: Training scientific language models with self-reflective instruction annotation and tuning D Zhang, Z Hu, S Zhoubian, Z Du, K Yang, Z Wang, Y Yue, Y Dong, ... arXiv preprint arXiv:2401.07950, 2024 | 14 | 2024 |
| POLAR++: active one-shot personalized article recommendation Z Du, J Tang, Y Ding IEEE Transactions on Knowledge and Data Engineering 33 (6), 2709-2722, 2019 | 13 | 2019 |
| Glm-4-voice: Towards intelligent and human-like end-to-end spoken chatbot A Zeng, Z Du, M Liu, K Wang, S Jiang, L Zhao, Y Dong, J Tang arXiv preprint arXiv:2412.02612, 2024 | 11* | 2024 |
| EFCNN: A restricted convolutional neural network for expert finding Y Zhao, J Tang, Z Du Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 9 | 2019 |
| Visualagentbench: Towards large multimodal models as visual foundation agents X Liu, T Zhang, Y Gu, IL Iong, Y Xu, X Song, S Zhang, H Lai, X Liu, H Zhao, ... arXiv preprint arXiv:2408.06327, 2024 | 8 | 2024 |
| Chatglm-math: Improving math problem-solving in large language models with a self-critique pipeline Y Xu, X Liu, X Liu, Z Hou, Y Li, X Zhang, Z Wang, A Zeng, Z Du, W Zhao, ... arXiv preprint arXiv:2404.02893, 2024 | 6 | 2024 |
Tang JieWeBank Chair Professor, Tsinghua UniversityПідтверджена електронна адреса в tsinghua.edu.cn