MIT researchers determined that vision-language models struggle with understanding queries that contain negation words, impacting their accuracy in analyzing medical images. This highlights vulnerabilities in crucial AI applications, warranting improvement in natural language processing methodologies. The study raises concerns for organizations utilizing these models in healthcare.
🔍 MIT Study Reveals Limitations in Vision-Language Models
