Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Large language models (LLMs) are artificial intelligence models trained on vast text data to
generate humanlike outputs. They have been applied to various tasks in health care …

In the complex and multidimensional field of medicine, multimodal data are prevalent and
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …

In this paper, we present a comprehensive mathematical analysis of the hallucination
phenomenon in generative pretrained transformer (GPT) models. We rigorously define and …

The emergence of large language models (LLMs) has sparked considerable interest in their
potential application in psychological research, mainly as a model of the human psyche or …

As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

Objective The recent surge in large language models (LLMs) across various fields has yet to
be fully realized in traditional Chinese medicine (TCM). This study aims to bridge this gap by …

Pre-trained language models (PLMs) demonstrate excellent abilities to understand texts in
the generic domain while struggling in a specific domain. Although continued pre-training on …

This study undertakes a comprehensive investigation into the comparison of designs
between the acclaimed architect Antoni Gaudí and those produced by an artificial …

In this paper, we introduce an innovative approach to handling the multi-armed bandit (MAB)
problem in non-stationary environments, harnessing the predictive power of large language …