用扩散模型替代自回归生成，为推荐系统带来全新生成范式，值得关注的WWW'26前沿研究。
arXiv:2510.21805v2 Announce Type: replace-cross Abstract: Generative recommendation (GR) is an emerging paradigm that represents each item via a token…
生成式推荐新突破，用LLM对齐的可变长度语义ID提升推荐效果，值得关注。
arXiv:2607.25209v1 Announce Type: cross Abstract: Generative recommendation commonly represents items using fixed-length semantic identifiers (SIDs) c…
KDD 2026论文：用语义ID推理提升生成式推荐，新思路值得关注
arXiv:2603.23183v2 Announce Type: replace-cross Abstract: Recent advances in generative recommendation have leveraged pretrained LLMs by formulating s…
论文揭示多模态LLM同样需要专用编码器处理语义ID，扩展了模型设计思路
arXiv:2606.00324v1 Announce Type: cross Abstract: Multimodal LLMs use dedicated encoders to bridge non-language modalities (vision encoders for images…