Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …

Recent advancements in large language models (LLMs) have transformed the field of
question answering (QA). However, evaluating LLMs in the medical field is challenging due …

AI Generated Content (AIGC) has received tremendous attention within the past few years,
with content generated in the format of image, text, audio, video, etc. Meanwhile, AIGC has …

Despite remarkable success in various applications, large language models (LLMs) are
vulnerable to adversarial jailbreaks that make the safety guardrails void. However, previous …

Recent remarkable advancements in large language models (LLMs) have led to their
widespread adoption in various applications. A key feature of these applications is the …

Large Language Models (LLMs) continue to advance in their capabilities, yet this progress is
accompanied by a growing array of safety risks. While significant attention has been …

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 …

As large language models (LLMs) become increasingly integrated into real-world
applications such as code generation and chatbot assistance, extensive efforts have been …

Introduction The emergence and application of generative artificial intelligence/large
language models (hereafter GenAI LLMs) have the potential for significant impact on the …

Abstract Large Language Models (LLMs) are increasingly employed in numerous
applications. It is hence important to ensure that their ethical standard aligns with humans' …