Enhancing Zero-shot Commonsense Reasoning by Integrating Visual Knowledge via Machine Imagination
We propose a method to enhance zero-shot commonsense reasoning by integrating visual knowledge through machine imagination.
We propose a method to enhance zero-shot commonsense reasoning by integrating visual knowledge through machine imagination.
We explore zero-shot commonsense reasoning by leveraging machine-generated visual imagination to supplement text-based reasoning.
DIVE is a framework that promotes descriptive and diverse visual commonsense reasoning beyond surface-level visual cues.