| Ptr: Prompt tuning with rules for text classification X Han, W Zhao, N Ding, Z Liu, M Sun AI Open 3, 182-192, 2022 | 407 | 2022 |
| 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 | 273 | 2023 |
| 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 | 229 | 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 | 181 | 2022 |
| Tool learning with foundation models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... arXiv preprint arXiv:2304.08354, 2023 | 175 | 2023 |
| Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models B Zhu, Y Qin, G Cui, Y Chen, W Zhao, C Fu, Y Deng, Z Liu, J Wang, W Wu, ... Advances in Neural Information Processing Systems 35, 1086-1099, 2022 | 13 | 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 |
| 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 | 7 | 2024 |
| Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models. CoRR, abs/2203.06904, 2022. doi: 10.48550 N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv.2203.06904, 0 | 7 | |
| BMCook: A task-agnostic compression toolkit for big models Z Zhang, B Gong, Y Chen, X Han, G Zeng, W Zhao, Y Chen, Z Liu, M Sun Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| BMInf: An Efficient Toolkit for Big Model Inference and Tuning X Han, G Zeng, W Zhao, Z Liu, Z Zhang, J Zhou, J Zhang, J Chao, M Sun Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
| CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models W Zhao, Y Huang, X Han, Z Liu, Z Zhang, M Sun arXiv preprint arXiv:2307.07705, 2023 | 3 | 2023 |
| Unlock Predictable Scaling from Emergent Abilities S Hu, X Liu, X Han, X Zhang, C He, W Zhao, Y Lin, N Ding, Z Ou, G Zeng, ... arXiv preprint arXiv:2310.03262, 2023 | 2 | 2023 |
| BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences S Ao, W Zhao, X Han, C Yang, Z Liu, C Shi, M Sun, S Wang, T Su arXiv preprint arXiv:2403.09347, 2024 | 1 | 2024 |
| Ouroboros: Speculative Decoding with Large Model Enhanced Drafting W Zhao, Y Huang, X Han, C Xiao, Z Liu, M Sun arXiv preprint arXiv:2402.13720, 2024 | 1 | 2024 |
| H3T: efficient integration of memory optimization and parallelism for high-throughput transformer training Y Wang, X Han, W Zhao, G Zeng, Z Liu, M Sun Proceedings of the 37th International Conference on Neural Information …, 2023 | | 2023 |
| Predicting Emergent Abilities with Infinite Resolution Evaluation S Hu, X Liu, X Han, X Zhang, C He, W Zhao, Y Lin, N Ding, Z Ou, G Zeng, ... arXiv e-prints, arXiv: 2310.03262, 2023 | | 2023 |
| Optimal Rope Extension Via Bayesian Optimization for Training-Free Length Generalization X Zhang, S Hu, W Zhao, H Wang, X Han, C He, Z Liu, M Sun Available at SSRN 4765732, 0 | | |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
