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Teacher-student mismatch can lead to flawed outputs, but TIDE's innovative correction method boosts reasoning accuracy by over 200% in challenging scenarios.
Expert-level video aesthetics can be captured and improved using a hierarchical rubric and reward models trained with a progressive learning scheme.
