With the significant development of large models in recent years, Large Vision-Language
Models (LVLMs) have demonstrated remarkable capabilities across a wide range of …

Multimodal large language models (MLLMs) have shown impressive reasoning abilities.
However, they are also more vulnerable to jailbreak attacks than their LLM predecessors …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

In Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated
high text generation quality. However, in real-world applications, LLMs must meet …

As Artificial General Intelligence (AGI) becomes increasingly integrated into various facets of
human life, ensuring the safety and ethical alignment of such systems is paramount …

Fine-tuning large language models (LLMs) on additional datasets is often necessary to
optimize them for specific downstream tasks. However, existing safety alignment measures …

Multimodal Large Language Models (MLLMs) have showcased impressive performance in a
variety of multimodal tasks. On the other hand, the integration of additional image modality …

Ensuring the trustworthiness of large language models (LLMs) is crucial. Most studies
concentrate on fully pre-trained LLMs to better understand and improve LLMs' …

As the development of large language models (LLMs) rapidly advances, securing these
models effectively without compromising their utility has become a pivotal area of research …

Attracted by the impressive power of Multimodal Large Language Models (MLLMs), the
public is increasingly utilizing them to improve the efficiency of daily work. Nonetheless, the …