4 papers
Functional Subspace, where language models can use vector algebra to solve problems
Jung H. Lee, Sujith Vijayan
Large language models (LLMs) were invented for natural language tasks such as translation, but they have proved that they can perform highly complex functions across domains. Addit…
Spiking Neural Network: a low power solution for physical layer authentication
Jung Hoon Lee, Sujith Vijayan
Deep learning (DL) is a powerful tool that can solve complex problems, and thus, it seems natural to assume that DL can be used to enhance the security of wireless communication. H…
Two out of Three (ToT): using self-consistency to make robust predictions
Jung Hoon Lee, Sujith Vijayan
Deep learning (DL) can automatically construct intelligent agents, deep neural networks (alternatively, DL models), that can outperform humans in certain tasks. However, the operat…
Searching for internal symbols underlying deep learning
Jung H. Lee, Sujith Vijayan
Deep learning (DL) enables deep neural networks (DNNs) to automatically learn complex tasks or rules from given examples without instructions or guiding principles. As we do not en…