Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

Multi-modal foundation models and generative AI have demonstrated promising capabilities
in applications across various domains. Recently, Vision-language-action (VLA) models …

Abstract Large Language Models (LLMs) are aligned to moral and ethical guidelines but
remain susceptible to creative prompts called Jailbreak that can bypass the alignment …

As safety remains a crucial concern throughout the development lifecycle of Large
Language Models (LLMs), researchers and industrial practitioners have increasingly …

Large language models (LLMs) have become transformative tools in areas like text
generation, natural language processing, and conversational AI. However, their widespread …

Large Language Models (LLMs) require careful safety alignment to prevent malicious
outputs. While significant research focuses on mitigating harmful content generation, the …

Large Language Models (LLMs) are widely used in many different domains, but because of
their limited interpretability, there are questions about how trustworthy they are in various …

Large Language Models (LLMs) have become integral to many applications, with system
prompts serving as a key mechanism to regulate model behavior and ensure ethical outputs …

Large Language Models (LLMs) require careful safety alignment to prevent malicious
outputs. While significant research focuses on mitigating harmful content generation, the …