99 citations · 113 across the 5 of their papers we have counts for
5 papers
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14
Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
Lin Zhao, Haixing Dai, Zihao Wu +2
The evolution of convolutional neural networks (CNNs) can be largely attributed to the design of its architecture, i.e., the network wiring pattern. Neural architecture search (NAS…
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Xu Liu, Mengyue Zhou, Gaosheng Shi +6
Linking computational natural language processing (NLP) models and neural responses to language in the human brain on the one hand facilitates the effort towards disentangling the…
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao +15
Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially p…
Gyri vs. Sulci: Disentangling Brain Core-Periphery Functional Networks via Twin-Transformer
Xiaowei Yu, Lu Zhang, Haixing Dai +5
The human cerebral cortex is highly convoluted into convex gyri and concave sulci. It has been demonstrated that gyri and sulci are significantly different in their anatomy, connec…