GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

This survey summarises the most recent methods for building and assessing helpful, honest,
and harmless neural language models, considering small, medium, and large-size models …

This study investigates the efficacy of advanced large language models, specifically GPT-4o,
Claude-3.5 Sonnet, and GPT-3.5 Turbo, in detecting software vulnerabilities. Our experiment …

In an era inundated with vast amounts of information, the imperative for efficient news
classification is paramount. This research explores the sophisticated integration of neural …

Transformer technologies, like generative pre-trained transformers (GPTs) and bidirectional
encoder representations from transformers (BERT) are increasingly utilized for …

This study investigates self-assessment tendencies in Large Language Models (LLMs),
examining if patterns resemble human cognitive biases like the Dunning–Kruger effect …

The vast majority of discourse around AI development assumes that subservient," moral"
models aligned with" human values" are universally beneficial--in short, that good AI is …

LLMs are changing the way humans create and interact with content, potentially affecting
citizens' political opinions and voting decisions. As LLMs increasingly shape our digital …

To be safely and successfully deployed, LLMs must simultaneously satisfy truthfulness and
utility goals. Yet, often these two goals compete (eg, an AI agent assisting a used car …

Large Language Models (LLMs) have revolutionized numerous applications, making them
an integral part of our digital ecosystem. However, their reliability becomes critical …