In the past year, MultiModal Large Language Models (MM-LLMs) have undergone
substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs …

In this paper, we study the harmlessness alignment problem of multimodal large language
models~(MLLMs). We conduct a systematic empirical analysis of the harmlessness …

With the advent and widespread deployment of Multimodal Large Language Models
(MLLMs), the imperative to ensure their safety has become increasingly pronounced …

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

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 …

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

There has been an increasing interest in the alignment of large language models (LLMs)
with human values. However, the safety issues of their integration with a vision module, or …

The emergence of Vision Language Models (VLMs) has brought unprecedented advances
in understanding multimodal information. The combination of textual and visual semantics in …

With the wide deployment of multimodal learning systems (MMLS) in real-world scenarios,
safety concerns have become increasingly prominent. The absence of systematic research …

Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities that
increasingly influence various aspects of our daily lives, constantly defining the new …