Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

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

The rise of large language models (LLMs) has drawn attention to the existence of"
jailbreaks" that allow the models to be used maliciously. However, there is no standard …

Large Language Models (LLMs) have become a cornerstone in the field of Natural
Language Processing (NLP), offering transformative capabilities in understanding and …

In our research, we pioneer a novel approach to evaluate the effectiveness of jailbreak
attacks on Large Language Models (LLMs), such as GPT-4 and LLaMa2, diverging from …

In the burgeoning field of Large Language Models (LLMs), developing a robust safety
mechanism, colloquially known as" safeguards" or" guardrails", has become imperative to …

Large language models (LLMs) have achieved remarkable performance in various natural
language processing tasks, especially in dialogue systems. However, LLM may also pose …

Conversational large language models are fine-tuned for both instruction-following and
safety, resulting in models that obey benign requests but refuse harmful ones. While this …

Along with the remarkable successes of Language language models, recent research also
started to explore the security threats of LLMs, including jailbreaking attacks. Attackers …