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Token recovery in continuous language diffusion models hinges on navigating a high-margin basin, revealing hidden failures in traditional evaluation metrics.
Time-aware diffusion in generative recommendation can boost performance by over 29%, revealing the critical role of temporal dynamics in user preferences.
