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Internalizing user behavior directly into generative recommendation models can boost conversion rates by up to 4.4% without compromising model integrity.
PRISM transforms prompt optimization by incorporating image feedback, leading to substantial gains in both image quality and semantic coherence.
Current world models fail to evolve independently of observation, often freezing events instead of allowing them to progress unseen.