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Restoring collaborative signals in generative recommendations can significantly boost accuracy without retraining models or sacrificing efficiency.
A unified framework reveals that the choice of tokenization and vocabulary topology can significantly influence the performance of discrete diffusion models, unlocking new avenues for optimization.
