Debiasing Large Visual Language Models

arXiv:2403.05262v1 Announce Type: new
Abstract: In the realms of computer vision and natural language processing, Large Vision-Language Models (LVLMs) have become indispensable tools, proficient in generating textual descriptions based on visual inputs. Despite their advancements, our investigation reveals a noteworthy bias in the generated content, where the output is primarily influenced by the underlying Large Language Models (LLMs) prior rather than the input image. Our empirical experiments underscore the persistence of this bias, as LVLMs often provide confident answers even …

abstract and natural language processing arxiv become bias computer computer vision cs.cv generated inputs investigation language language models language processing natural natural language natural language processing processing textual tools type vision vision-language models visual