GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

Advanced omics technologies and facilities generate a wealth of valuable data daily;
however, the data often lack the essential metadata required for researchers to find, curate …

A major challenge in deep learning (DL) model training is data scarcity. Data scarcity is
commonly found in specific domains, such as clinical or low-resource languages, that are …

To improve the performance of text classification, we propose text augmentation based on
attention score (TABAS). We recognized that a criterion for selecting a replacement word …

In recent years, large language models (LLMs) have demonstrated remarkable capabilities
across various natural language processing tasks. This study explores the application of …

Predicting complex nonlinear turbulent dynamical systems is an important and practical
topic. However, due to the lack of a complete understanding of nature, the ubiquitous model …