2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter
Zhengqing Yuan, Yunhong He, Kun Wang +2
The success of large language models (LLMs) has inspired an emerging research field of multimodal learning. However, a grand challenge of exploiting LLMs for multimodal learning is…
cs.CL2023★ 2 cited
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
Zhengqing Yuan, Huiwen Xue, Chao Zhang +1
In recent years, pretrained models have been widely used in various fields, including natural language understanding, computer vision, and natural language generation. However, the…
cs.CL2022
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
Zhengqing Yuan, Xiaolong Zhang, Yue Wang +4
Data augmentation is a widely used technique in machine learning to improve model performance. However, existing data augmentation techniques in natural language understanding (NLU…