Data visualization in the form of charts plays a pivotal role in data analysis, offering critical
insights and aiding in informed decision-making. Automatic chart understanding has …

Multimodal learning, which aims to understand and analyze information from multiple
modalities, has achieved substantial progress in the supervised regime in recent years …

Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

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 …

People are spending an enormous amount of time on digital devices through graphical user
interfaces (GUIs) eg computer or smartphone screens. Large language models (LLMs) such …

Abstract Large Multimodal Models (LMMs) have shown promise in vision-language tasks but
struggle with high-resolution input and detailed scene understanding. Addressing these …

Large Language Models (LLMs) and Large Multimodal Models (LMMs) exhibit impressive
problem-solving skills in many tasks and domains, but their ability in mathematical …

With advances in generative AI, there is now potential for autonomous agents to manage
daily tasks via natural language commands. However, current agents are primarily created …

The recent development on large multimodal models (LMMs), especially GPT-4V (ision) and
Gemini, has been quickly expanding the capability boundaries of multimodal models …

Abstract Most Large Vision-Language Models (LVLMs) enjoy the same vision vocabulary, ie,
CLIP, for common vision tasks. However, for some special task that needs dense and fine …