2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2023
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.DC2023
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems
Zhengqing Yuan, Huiwen Xue, Chao Zhang +1
Large deep learning models have shown great potential for delivering exceptional results in various applications. However, the training process can be incredibly challenging due to…
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…