LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

arXiv:2404.03118v1 Announce Type: new
Abstract: In the rapidly evolving landscape of artificial intelligence, multi-modal large language models are emerging as a significant area of interest. These models, which combine various forms of data input, are becoming increasingly popular. However, understanding their internal mechanisms remains a complex task. Numerous advancements have been made in the field of explainability tools and mechanisms, yet there is still much to explore. In this work, we present a novel interactive application aimed towards understanding the …

abstract artificial artificial intelligence arxiv cs.cv data forms however intelligence interpretability landscape language language models large language large language models lvlm modal multi-modal popular tool type understanding vision vision-language models