LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models

Understand

Large Vision-Language Models (LVLMs) have shown impressive performance in various tasks.

• However, LVLMs suffer from hallucination, which hinders their adoption in the real world.
• Existing studies emphasized that the strong language priors of LVLMs can overpower visual information, causing hallucinations.
• However, the positive role of language priors is the key to a powerful LVLM.