recognitionheavy
Recognitionheavy is an adjective used to describe processes, systems, or strategies that rely predominantly on recognition—identifying previously encountered patterns, objects, or information—rather than generation, construction, or other productive operations.
In artificial intelligence and machine learning, recognitionheavy models focus on perceptual or discriminative tasks such as
In cognitive psychology and education, recognitionheavy refers to tasks or assessments that require recognizing correct items
Strengths of recognitionheavy approaches include scalability, robustness to certain types of noise, and fast inference. Limitations
The term is not yet standardized and is used descriptively across disciplines. It is often contrasted with