Yang, Zonghan

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

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

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Yang, Z., Yi, X., Li, P., Liu, Y., & Xie, X. (2022) · arXiv

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 17

Kimi k1.5: Scaling Reinforcement Learning with LLMs

Kimi Team, Du, A., Gao, B., Xing, B., Jiang, C., Chen, C., Li, C., Xiao, C., Du, C., Liao, C., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 12