With the widespread application of the Transformer architecture in various modalities,
including vision, the technology of large language models is evolving from a single modality …

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 …

The growing interest in vision-language models (VLMs) has been driven by improvements in
large language models and vision transformers. Despite the abundance of literature on this …

Graphical User Interface (GUI) agents are designed to automate complex tasks on digital
devices, such as smartphones and desktops. Most existing GUI agents interact with the …

While next-token prediction is considered a promising path towards artificial general
intelligence, it has struggled to excel in multimodal tasks, which are still dominated by …

We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

In the rapidly advancing field of conditional image generation research, challenges such as
limited explainability lie in effectively evaluating the performance and capabilities of various …

The field of vision-language models (VLMs), which take images and texts as inputs and
output texts, is rapidly evolving and has yet to reach consensus on several key aspects of …

Engineering design is undergoing a transformative shift with the advent of AI, marking a new
era in how we approach product, system, and service planning. Large language models …

Vision-Language-Action (VLA) models have shown remarkable potential in visuomotor
control and instruction comprehension through end-to-end learning processes. However …