Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

This study investigated the potential of Generative Pre-trained Transformers (GPTs), a state-
of-the-art large language model, in generating cybersecurity policies to deter and mitigate …

Abstract Natural Language Processing (NLP) has recently gained wide attention in
cybersecurity, particularly in Cyber Threat Intelligence (CTI) and cyber automation …

Digitization in healthcare systems, with the wid adoption of Electronic Health Records,
connected medical devices, software and systems providing efficient healthcare service …

Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of
artificial intelligence (AI), offering unparalleled potential in a variety of application domains …

The rise of Large Language Models (LLMs) has revolutionized our comprehension of
intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers …

As Large Language Models (LLMs) are integrated into critical real-world applications, their
strategic and logical reasoning abilities are increasingly crucial. This paper evaluates LLMs' …

The healthcare sectors have constantly faced significant challenge due to the rapid rise of
cyber threats. These threats can pose any potential risk within the system context and disrupt …

Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

There is an urgent need in many critical infrastructure sectors, including the energy sector,
for attaining detailed insights into cybersecurity features and compliance with cybersecurity …