Large Language Models (LLMs) have made significant advances in natural language
processing, but their underlying mechanisms are often misunderstood. Despite exhibiting …

In this paper we argue that key, often sensational and misleading, claims regarding linguistic
capabilities of Large Language Models (LLMs) are based on at least two unfounded …

AI systems could replace clinical decision making in two ways. First, from the 'top down', by
way of hospitals and healthcare organisations. Second, from the 'bottom up'. by way of …

As Large Language Models become more ubiquitous across domains, it becomes important
to examine their inherent limitations critically. This work argues that hallucinations in …

Large Language Models (LLMs) have the potential to revolutionize scientific research, yet
their robustness and reliability in domain-specific applications remain insufficiently explored …

‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …

We outline the principles of classical assurance for computer-based systems that pose
significant risks. We then consider application of these principles to systems that employ …

Although large language models (LLMs) and other artificial intelligence systems
demonstrate cognitive skills similar to humans, such as concept learning and language …

Background/Objectives: Feelings of loneliness are common in people living with dementia
(PLWD) in long-term care (LTC). The goals of this study were to describe the development of …

This paper investigates the ontological characterization of Large Language Models (LLMs)
like ChatGPT. Between inflationary and deflationary accounts, we pay special attention to …