DEEP-ICL introduces a novel approach to in-context learning by emphasizing task definition extraction and expert ensembling. The core reasoning is that understanding task definitions is crucial for successful in-context learning.
DEEP-ICL introduces a novel approach to in-context learning by emphasizing the extraction of task definitions and expert ensembling for improved performance.