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The Hong Kong University of Science and Technology (
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Low-KL agreement can trap models in ineffective training regimes, but KAT offers a dynamic solution that boosts accuracy while slashing rollout lengths.
Quantizing user preferences into discrete tokens unlocks personalized multimodal content generation with improved consistency between modalities.
