The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …

Transfer learning aims to transfer knowledge or information from a source domain to a
relevant target domain. In this paper, we understand transfer learning from the perspectives …

The environmental impact of large language models (LLMs) in medicine spans carbon
emission, water consumption and rare mineral usage. Prior‐generation LLMs, such as GPT …

Training large language models (LLMs) from scratch is extremely time-consuming and
computationally expensive. Fine-tuning provides an effective approach that skips the initial …

In an era where fake news detection has become a pressing issue due to its profound
impacts on public opinion, democracy, and social trust, accurately identifying and classifying …

Losing track of reading progress during line switching can be frustrating. Eye gaze tracking
technology offers a potential solution by highlighting read paragraphs, aiding users in …

The rapid growth of the size and complexity in deep neural networks has sharply increased
computational demands, challenging their efficient deployment in real-world scenarios …

Artificial Intelligence (AI) is at the forefront of today's research trends, particularly in deep
learning. The prevailing trend in designing AI systems is based on the principle “the bigger …

This paper explores the multi-dimensional challenges faced during the development of
Large Language Models (LLMs), including the massive scale of model parameters and file …

In an era where misinformation and disinformation have profound impacts on public opinion,
democracy, and social trust, accurately identifying and classifying false information is a …