| 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, 2023 | 996* | 2023 |
| Pre-trained models: Past, Present and Future X Han*, Z Zhang*, N Ding*, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open, 2021 | 972 | 2021 |
| PTR: Prompt Tuning with Rules for Text Classification X Han, W Zhao, N Ding, Z Liu, M Sun Preprint, 2022 | 534 | 2022 |
| Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification S Hu, N Ding, H Wang, Z Liu, J Wang, J Li, W Wu, M Sun ACL 2022, 2021 | 402 | 2021 |
| 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 EMNLP 2023, 2023 | 395 | 2023 |
| UltraFeedback: Boosting Language Models with Scaled AI Feedback G Cui, L Yuan, N Ding, G Yao, W Zhu, Y Ni, G Xie, Z Liu, M Sun ICML 2024, 2023 | 392* | 2023 |
| Tool Learning with Foundation Models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... ACM Computing Surveys, 2023 | 353* | 2023 |
| OpenPrompt: An Open-Source Framework for Prompt-Learning N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun ACL 2022, Best System Demonstration Paper Award, 2021 | 328 | 2021 |
| 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, ... COLM 2024, 2024 | 270* | 2024 |
| Few-NERD: A Few-Shot Named Entity Recognition Dataset N Ding, G Xu, Y Chen, X Wang, X Han, P Xie, HT Zheng, Z Liu ACL 2021, 2021 | 257 | 2021 |
| Prompt-learning for Fine-grained Entity Typing N Ding, Y Chen, X Han, G Xu, P Xie, HT Zheng, Z Liu, J Li, HG Kim EMNLP 2022 Findings, 2021 | 170 | 2021 |
| Modeling Relation Paths for Knowledge Graph Completion Y Shen, N Ding, HT Zheng, Y Li, M Yang TKDE, 2020 | 140 | 2020 |
| CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding D Wang*, N Ding*, P Li, HT Zheng ACL 2021, 2021 | 130 | 2021 |
| Hierarchy-aware Global Model for Hierarchical Text Classification J Zhou, C Ma, D Long, G Xu, N Ding, H Zhang, P Xie, G Liu ACL 2020, 2020 | 130 | 2020 |
| KoLA: Carefully Benchmarking World Knowledge of Large Language Models J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ... ICLR 2024, 2023 | 126 | 2023 |
| Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge Z Li*, N Ding*, Z Liu, H Zheng, Y Shen ACL 2019, 2019 | 116 | 2019 |
| Prototypical Verbalizer for Prompt-based Few-shot Tuning G Cui, S Hu, N Ding, L Huang, Z Liu ACL 2022, 2022 | 108 | 2022 |
| Pre-trained models: Past, Present and Future. AI Open. X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... | 103* | 2021 |
| Advancing LLM Reasoning Generalists with Preference Trees L Yuan, G Cui, H Wang, N Ding, X Wang, J Deng, B Shan, H Chen, R Xie, ... ICLR 2025, 2024 | 89* | 2024 |
| 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 | 86 | 2023 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
