Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Large language models (LLMs) have recently experienced tremendous popularity and are
widely used from casual conversations to AI-driven programming. However, despite their …

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the
hallucination of large language models (LLMs). However, existing research lacks rigorous …

Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

With the rapid development of Large Language Models (LLMs), increasing attention has
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …

Big models, exemplified by Large Language Models (LLMs), are models typically pre-
trained on massive data and comprised of enormous parameters, which not only obtain …

In the rapidly evolving landscape of Large Language Models (LLMs), ensuring robust safety
measures is paramount. To meet this crucial need, we propose\emph {SALAD-Bench}, a …

Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …