arXiv AI August 14, 2026 By Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou

DiffGRM: Diffusion-based Generative Recommendation Model

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arXiv:2510. 21805v2 Announce Type: replace-cross Abstract: Generative recommendation (GR) is an emerging paradigm that represents each item via a tokenizer as an n-digit semantic ID (SID) and predicts the next item by autoregressively generating its SID conditioned on the user's history.

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Adaptive Item-based Collaborative Structures via Noise Rescheduling in Diffusion for Generative Recommendation

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