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Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
Forget retraining: GenRecEdit injects knowledge about new items into generative recommendation models, boosting cold-start performance by up to 10x while slashing training time by 90%.