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Bilibili
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MemeMind recovers from failed rollouts by leveraging offline reference answers, leading to a remarkable 22% boost in performance on complex meme interpretation tasks.
Cross-frame feedback boosts Transformer tracking performance by leveraging historical information, outperforming traditional same-frame methods by up to 3.2 AO points.
