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News/TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment

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Publisher summary· verbatim

arXiv:2608.29179v1 Announce Type: cross Abstract: Generative recommendation encodes items as hierarchical semantic identifiers (SIDs) and retrieves the next item through autoregressive decoding. Standard next-token prediction, however, does not explicitly cover the multimodal transitions present in

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