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DARAD not only adapts to new remote sensing data but also preserves the integrity of historical retrieval performance, a dual capability that sets a new standard in continual learning.
Current instruction-based video editing models are far from satisfactory, revealing critical gaps in evaluation that could reshape the field.
Self-evolution boosts agent accuracy by over 16% in real-world business tasks, yet current models still fall short of optimal performance.
