| Graph neural networks: A review of methods and applications J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun AI open 1, 57-81, 2020 | 5794 | 2020 |
| Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence 5 (3), 220-235, 2023 | 315 | 2023 |
| Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification S Hu, N Ding, H Wang, Z Liu, J Li, M Sun | 310 | 2021 |
| Openprompt: An open-source framework for prompt-learning N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun arXiv preprint arXiv:2111.01998, 2021 | 242 | 2021 |
| Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv:2203.06904, 2022 | 184 | 2022 |
| Enhancing chat language models by scaling high-quality instructional conversations N Ding, Y Chen, B Xu, Y Qin, Z Zheng, S Hu, Z Liu, M Sun, B Zhou arXiv preprint arXiv:2305.14233, 2023 | 179 | 2023 |
| Prototypical verbalizer for prompt-based few-shot tuning G Cui, S Hu, N Ding, L Huang, Z Liu arXiv preprint arXiv:2203.09770, 2022 | 83 | 2022 |
| Graph Policy Network for Transferable Active Learning on Graphs S Hu, Z Xiong, M Qu, X Yuan, MA Côté, Z Liu, J Tang NeurIPS'20, 2020 | 62 | 2020 |
| Minicpm: Unveiling the potential of small language models with scalable training strategies S Hu, Y Tu, X Han, C He, G Cui, X Long, Z Zheng, Y Fang, Y Huang, ... arXiv preprint arXiv:2404.06395, 2024 | 30 | 2024 |
| 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 | 28 | 2022 |
| Decoder-only or encoder-decoder? interpreting language model as a regularized encoder-decoder Z Fu, W Lam, Q Yu, AMC So, S Hu, Z Liu, N Collier arXiv preprint arXiv:2304.04052, 2023 | 20 | 2023 |
| Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems C He, R Luo, Y Bai, S Hu, ZL Thai, J Shen, J Hu, X Han, Y Huang, ... arXiv preprint arXiv:2402.14008, 2024 | 10 | 2024 |
| Won't get fooled again: Answering questions with false premises S Hu, Y Luo, H Wang, X Cheng, Z Liu, M Sun arXiv preprint arXiv:2307.02394, 2023 | 10 | 2023 |
| Sparse structure search for delta tuning S Hu, Z Zhang, N Ding, Y Wang, Y Wang, Z Liu, M Sun Advances in Neural Information Processing Systems 35, 9853-9865, 2022 | 9 | 2022 |
| OpenDelta: A plug-and-play library for parameter-efficient adaptation of pre-trained models S Hu, N Ding, W Zhao, X Lv, Z Zhang, Z Liu, M Sun arXiv preprint arXiv:2307.03084, 2023 | 8 | 2023 |
| Sparse structure search for parameter-efficient tuning S Hu, Z Zhang, N Ding, Y Wang, Y Wang, Z Liu, M Sun arXiv preprint arXiv:2206.07382, 2022 | 8 | 2022 |
| Exploring lottery prompts for pre-trained language models Y Chen, N Ding, X Wang, S Hu, HT Zheng, Z Liu, P Xie arXiv preprint arXiv:2305.19500, 2023 | 5 | 2023 |
| Unified view of grokking, double descent and emergent abilities: A perspective from circuits competition Y Huang, S Hu, X Han, Z Liu, M Sun arXiv preprint arXiv:2402.15175, 2024 | 4 | 2024 |
| ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models C Song, X Han, Z Zhang, S Hu, X Shi, K Li, C Chen, Z Liu, G Li, T Yang, ... arXiv preprint arXiv:2402.13516, 2024 | 4 | 2024 |
| KACC: A multi-task benchmark for knowledge abstraction, concretization and completion J Zhou, S Hu, X Lv, C Yang, Z Liu, W Xu, J Jiang, J Li, M Sun arXiv preprint arXiv:2004.13631, 2020 | 4 | 2020 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
