| 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 | 679 | 2023 |
| Ptr: Prompt tuning with rules for text classification X Han, W Zhao, N Ding, Z Liu, M Sun AI Open 3, 182-192, 2022 | 526 | 2022 |
| 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 | 317 | 2021 |
| 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 | 256 | 2023 |
| 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 | 248 | 2022 |
| MiniCPM-V: A GPT-4V Level MLLM on Your Phone Y Yao, T Yu, A Zhang, C Wang, J Cui, H Zhu, T Cai, H Li, W Zhao, Z He, ... arXiv preprint arXiv:2408.01800, 2024 | 189 | 2024 |
| 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 | 183 | 2024 |
| 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 | 32 | 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 | 13 | 2023 |
| Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding W Zhao, Y Huang, X Han, W Xu, C Xiao, X Zhang, Y Fang, K Zhang, Z Liu, ... | 10* | 2024 |
| Configurable Foundation Models: Building LLMs from a Modular Perspective C Xiao, Z Zhang, C Song, D Jiang, F Yao, X Han, X Wang, S Wang, ... arXiv preprint arXiv:2409.02877, 2024 | 9 | 2024 |
| 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 | 9 | 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 | 8 | 2022 |
| CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices W Zhao, Y Huang, X Han, Z Liu, Z Zhang, K Li, C Chen, TAO YANG, ... First Conference on Language Modeling, 2024 | 7* | 2024 |
| Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models X Zhang, Y Chen, S Hu, X Han, Z Xu, Y Xu, W Zhao, M Sun, Z Liu arXiv preprint arXiv:2406.15718, 2024 | 5 | 2024 |
| 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 | 4 | 2024 |
| 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 |
| Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training S Ao, W Zhao, X Han, C Yang, Z Liu, C Shi, M Sun arXiv preprint arXiv:2406.03488, 2024 | 1 | 2024 |
| Optimal RoPE extension via Bayesian Optimization for training-free length generalization X Zhang, S Hu, W Zhao, H Wang, X Han, C He, G Zeng, Z Liu, M Sun AI Open, 2025 | | 2025 |
| 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 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityEmail verificata su tsinghua.edu.cn