| Sparse Low-rank Adaptation of Pre-trained Language Models N Ding, X Lv, Q Wang, Y Chen, B Zhou, Z Liu, M Sun EMNLP 2023, 2023 | 71 | 2023 |
| Ultramedical: Building specialized generalists in biomedicine K Zhang, S Zeng, E Hua, N Ding, ZR Chen, Z Ma, H Li, G Cui, B Qi, X Zhu, ... Advances in Neural Information Processing Systems 37, 26045-26081, 2025 | 17 | 2025 |
| 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 | 12 | 2023 |
| Parameter-efficient weight ensembling facilitates task-level knowledge transfer X Lv, N Ding, Y Qin, Z Liu, M Sun Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 7 | 2023 |
| Process reinforcement through implicit rewards G Cui, L Yuan, Z Wang, H Wang, W Li, B He, Y Fan, T Yu, Q Xu, W Chen, ... arXiv preprint arXiv:2502.01456, 2025 | 6 | 2025 |
| Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding K Zhang, J Wang, N Ding, B Qi, E Hua, X Lv, B Zhou arXiv preprint arXiv:2406.12295, 2024 | 4 | 2024 |
| Intuitive fine-tuning: Towards unifying sft and rlhf into a single process E Hua, B Qi, K Zhang, Y Yu, N Ding, X Lv, K Tian, B Zhou arXiv e-prints, arXiv: 2405.11870, 2024 | 4* | 2024 |
| Mastering text, code and math simultaneously via fusing highly specialized language models N Ding, Y Chen, G Cui, X Lv, W Zhao, R Xie, B Zhou, Z Liu, M Sun arXiv preprint arXiv:2403.08281, 2024 | 4 | 2024 |
| Automating exploratory proteomics research via language models N Ding, S Qu, L Xie, Y Li, Z Liu, K Zhang, Y Xiong, Y Zuo, Z Chen, E Hua, ... arXiv preprint arXiv:2411.03743, 2024 | 3 | 2024 |
| How to Synthesize Text Data without Model Collapse? X Zhu, D Cheng, H Li, K Zhang, E Hua, X Lv, N Ding, Z Lin, Z Zheng, ... arXiv preprint arXiv:2412.14689, 2024 | 1 | 2024 |
| Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization E Hua, C Jiang, X Lv, K Zhang, N Ding, Y Sun, B Qi, Y Fan, XK Zhu, ... arXiv preprint arXiv:2412.17739, 2024 | | 2024 |
| Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention X Lv, N Ding, K Zhang, E Hua, G Cui, B Zhou arXiv preprint arXiv:2411.02063, 2024 | | 2024 |
| OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees K Zhang, J Zhang, H Li, X Zhu, E Hua, X Lv, N Ding, B Qi, B Zhou The Thirteenth International Conference on Learning Representations, 0 | | |
| ToEdit: How to Synthesize Text Data to Avoid Model Collapse? X Zhu, D Cheng, H Li, K Zhang, E Hua, X Lv, N Ding, Z Lin, Z Zheng, ... | | |
Ning DingTsinghua UniversityE-mailová adresa ověřena na: mail.tsinghua.edu.cn