For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …

Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …

Abstract While Large Language Models (LLMs) display versatile functionality, they continue
to generate harmful, biased, and toxic content, as demonstrated by the prevalence of human …

The increasing reliance on Large Language Models (LLMs) across academia and industry
necessitates a comprehensive understanding of their robustness to prompts. In response to …

Despite efforts to align large language models (LLMs) with human values, widely-used
LLMs such as GPT, Llama, Claude, and PaLM are susceptible to jailbreaking attacks …

Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

The way users acquire information is undergoing a paradigm shift with the advent of
ChatGPT. Unlike conventional search engines, ChatGPT retrieves knowledge from the …

Text-to-image generative models such as Stable Diffusion and DALL• E raise many ethical
concerns due to the generation of harmful images such as Not-Safe-for-Work (NSFW) ones …

Adversarial attacks for discrete data (such as texts) have been proved significantly more
challenging than continuous data (such as images) since it is difficult to generate adversarial …