The advancement of AI has led to remarkable strides in understanding and generating content that bridges the gap between text and imagery. A particularly challenging aspect of this interdisciplinary field involves seamlessly integrating visual content with textual narratives to create cohesive and meaningful multi-modal outputs. This challenge is compounded by the need for systems that…

Current challenges faced by large vision-language models (VLMs) include limitations in the capabilities of individual visual components and issues arising from excessively long visual tokens. These challenges pose constraints on the model’s ability to accurately interpret complex visual information and lengthy contextual details. Recognizing the importance of overcoming these hurdles for improved performance and versatility,…