arXiv: cs.AI preprintsInternational6 November 2026
Revisiting Generative vs. Dense Retrieval: A Static Value Prior Reverses the Gap
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arXiv:2610.19065v2 Announce Type: replace-cross Abstract: Generative retrieval (GR) has emerged as a strong candidate generator for sequential recommendation as language models and semantic-item identifiers have improved. However, GR is not a uniformly stronger replacement of dense retrieval (DR) in online retail candidate generation. We examine their differences on two Amazon Toys datasets under different metrics. GR leads on best relevant item value among users both methods cover, while DR leads on exact-target recall and relevant value across the ranked list. With deep analysis, we find tha
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