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Devansh Tandon

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#artificial intelligence Preprint Sep 2026

Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations

First-stage recommenders in multi-stage systems produce a ranked candidate list from which a limited prefix is forwarded to downstream rankers. Because each forwarded item must be processed by more expensive ranking stages, this shortlist cannot be arbitrarily large. The first-stage objective is therefore high coverage...

Ben-Yu Zhang, Qiang Zhang, Rui Li et al. · 0 citations

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