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 …

Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …

Background Large language models (LLMs) have shown remarkable capabilities in natural
language processing (NLP), especially in domains where labeled data are scarce or …

Abstract Motivation Large Language Models (LLMs) have the potential to revolutionize the
field of Natural Language Processing, excelling not only in text generation and reasoning …

Pre-conceptual schemas are a straightforward way to represent knowledge using controlled
language regardless of context. Despite the benefits of using pre-conceptual schemas by …

Large language models (LLMs) excel in providing natural language responses that sound
authoritative, reflect knowledge of the context area, and can present from a range of varied …

This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

Hardware offloaded network stacks are widely adopted in modern datacenters to meet the
demand for high throughput, ultra-low latency and low CPU overhead. To fully leverage their …

Massive text collections are the backbone of large language models, the main ingredient of
the current significant progress in artificial intelligence. However, as these collections are …

We suggest the implementation of the Dual Use Research of Concern (DURC) framework,
originally designed for life sciences, to the domain of generative AI, with a specific focus on …