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 …

Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in
processing both visual and textual information. However, the critical challenge of alignment …

Large Vision-Language Models (LVLMs) have been widely adopted in various applications;
however, they exhibit significant gender biases. Existing benchmarks primarily evaluate …

Safety concerns of Multimodal large language models (MLLMs) have gradually become an
important problem in various applications. Surprisingly, previous works indicate a counter …

Recent advancements in MLLM, such as those exemplified by developments like GPT-4o,
have positioned them as a significant focus within the research community. MLLMs leverage …

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

Large Vision-Language Models (LVLMs) exhibit impressive potential across various tasks
but also face significant privacy risks, limiting their practical applications. Current researches …

We propose MultiSkill, an evaluation protocol that assesses large multimodal models
(LMMs) across multiple fine-grained skills for alignment with human values. Recent LMMs …

The emergence of Large Vision-Language Models (LVLMs) marks significant strides
towards achieving general artificial intelligence. However, these advancements are …

The vulnerability of Vision Large Language Models (VLLMs) to jailbreak attacks appears as
no surprise. However, recent defense mechanisms against these attacks have reached near …