Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions

arXiv:2404.07214v1 Announce Type: new
Abstract: The advent of Large Language Models (LLMs) has significantly reshaped the trajectory of the AI revolution. Nevertheless, these LLMs exhibit a notable limitation, as they are primarily adept at processing textual information. To address this constraint, researchers have endeavored to integrate visual capabilities with LLMs, resulting in the emergence of Vision-Language Models (VLMs). These advanced models are instrumental in tackling more intricate tasks such as image captioning and visual question answering. In our comprehensive survey …

abstract adept arxiv cs.ai cs.cl cs.cv current future information language language models large language large language models llms processing researchers survey textual trajectory type vision vision-language models