CLIP embeddings work well for general tasks, but you need domain-specific interpretation tools like fuzzy rules to understand and improve their performance on specialized text like medical or legal documents.
This paper shows how to interpret what CLIP embeddings learn in specific domains like medical records and film reviews. The researchers use fuzzy rules to map domain-specific features into CLIP's vector space, making it easier to understand which text features matter most for classification tasks in specialized fields.