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 …

As Large Language Models (LLMs) continue to advance in their ability to write human-like
text, a key challenge remains around their tendency to hallucinate generating content that …

The security concerns surrounding Large Language Models (LLMs) have been extensively
explored, yet the safety of Multimodal Large Language Models (MLLMs) remains …

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

To solve complex tasks, large language models (LLMs) often require multiple rounds of
interactions with the user, sometimes assisted by external tools. However, current evaluation …

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

Multimodal large language models (MLLMs) enhance the capabilities of standard large
language models by integrating and processing data from multiple modalities, including text …

Large vision-language models (LVLMs), designed to interpret and respond to human
instructions, occasionally generate hallucinated or harmful content due to inappropriate …

The rapid evolution of artificial intelligence (AI) through developments in Large Language
Models (LLMs) and Vision-Language Models (VLMs) has brought significant advancements …

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