Multimodal Large Language Model

EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders

The flexibility to accurately interpret complex visual information is a vital focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks,...

MINT-1T: Scaling Open-Source Multimodal Data by 10x

Training frontier large multimodal models (LMMs) requires large-scale datasets with interleaved sequences of images and text in free form. Although open-source LMMs have evolved rapidly, there continues to be a significant lack of multi-modal...

Guiding Instruction-Based Image Editing via Multimodal Large Language Models

Visual design tools and vision language models have widespread applications within the multimedia industry. Despite significant advancements lately, a solid understanding of those tools continues to be obligatory for his or her operation. To...

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