Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Large language models trained for safety and harmlessness remain susceptible to
adversarial misuse, as evidenced by the prevalence of “jailbreak” attacks on early releases …

Large Language Models (LLMs) bring transformative benefits alongside unique challenges,
including intellectual property (IP) and ethical concerns. This position paper explores a …

Large Language Models (LLMs) are advancing at a remarkable pace, with myriad
applications under development. Unlike most earlier machine learning models, they are no …

With the increasing complexity of cyber threats and the expanding scope of cyberspace,
there exist progressively more challenges in cyber threat detection. It's proven that most …

The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

The widespread integration of autoregressive-large language models (AR-LLMs), such as
ChatGPT, across established applications, like search engines, has introduced critical …

Foundation Models (FMs) are gaining increasing attention in the biomedical artificial
intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal …

Foundation models (FM), such as large language models (LLMs), which are large-scale
machine learning (ML) models, have demonstrated remarkable adaptability in various …