Ding, Ning

Parameter-efficient fine-tuning of large-scale pre-trained language models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2023) · Nature Machine Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,191

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

PTR: Prompt Tuning with Rules for Text Classification

Han, X., Zhao, W., Ding, N., Liu, Z., & Sun, M. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 478

Tool Learning with Foundation Models

Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 184

Modeling Relation Paths for Knowledge Graph Completion

Shen, Y., Ding, N., Zheng, H.-T., Li, Y., & Yang, M. (2021) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksTopic Modeling

Cited by 153

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Hu, S., Tu, Y., Han, X., He, C., Cui, G., Long, X., Zheng, Z., Fang, Y., Huang, Y., Zhao, W., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Cui, G., Yuan, L., Ding, N., Yao, G., He, B., Zhu, W., Ni, Y., Xie, G., Xie, R., Lin, Y., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 23