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Strong proprietary models falter in grounding their predictions, revealing a critical flaw in current VideoQA systems that could reshape evaluation standards.
Uniformly treating all tokens as equally important during distillation hurts long-form generation, but DIVE's decisive-token supervision and dynamic steering can fix it.
