Traditional recommender systems typically use user-item rating histories as their main data
source. However, deep generative models now have the capability to model and sample …

Large Language Models (LLMs) have performed exceptionally in various text-generative
tasks, including question answering, translation, code completion, etc. However, the over …

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

Cloud-based large language models (LLMs) such as ChatGPT have increasingly become
integral to daily operations, serving as vital tools across various applications. While these …

This paper presents a vision for creating AI systems that are inclusive at every stage of
development, from data collection to model design and evaluation. We address key …

In the realm of large vision language models (LVLMs), jailbreak attacks serve as a red-
teaming approach to bypass guardrails and uncover safety implications. Existing jailbreaks …

This study identifies the potential vulnerabilities of Large Language Models (LLMs)
to'jailbreak'attacks, specifically focusing on the Arabic language and its various forms. While …

With the continuous development of large language models (LLMs), transformer-based
models have made groundbreaking advances in numerous natural language processing …

Jailbreak attacks aim to induce Large Language Models (LLMs) to generate harmful
responses for forbidden instructions, presenting severe misuse threats to LLMs. Up to now …

Despite advancements in enhancing LLM safety against jailbreak attacks, evaluating LLM
defenses remains a challenge, with current methods often lacking explainability and …