Zhao, Weilin

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

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

OpenPrompt: An Open-source Framework for Prompt-learning

Ding, N., Hu, S., Zhao, W., Chen, Y., Liu, Z., Zheng, H.-T., & Sun, M. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 60

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

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for 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. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 20

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation

Zhao, W., Zhou, Z., Su, Z., Xiao, C., Li, Y., Li, Y., Zhang, Y., Zhao, W., Li, Z., Huang, Y., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0