Hallucination of Multimodal Large Language Models: A Survey

arXiv:2404.18930v1 Announce Type: new
Abstract: This survey presents a comprehensive analysis of the phenomenon of hallucination in multimodal large language models (MLLMs), also known as Large Vision-Language Models (LVLMs), which have demonstrated significant advancements and remarkable abilities in multimodal tasks. Despite these promising developments, MLLMs often generate outputs that are inconsistent with the visual content, a challenge known as hallucination, which poses substantial obstacles to their practical deployment and raises concerns regarding their reliability in real-world applications. This problem has …

arxiv cs.cv hallucination language language models large language large language models multimodal survey type