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DREAM: Dynamic Refinement of Early Assignment Mappings

cs.IR · 2026-06-05 · unverdicted · novelty 6.0

DREAM proposes intent-aware tokenization, frozen-model evaluation, and dynamic beams to refine early SID assignments and improve cold-start performance in generative recommenders on Amazon benchmarks.

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  • SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers cs.IR · 2026-06-09 · accept · none · ref 27

    SIDInspector provides a standardized adapter contract and mapping-level probes for Semantic-ID tokenizers, with empirical contrasts showing high aliasing in GRID-style exports and superior prefix alignment from deterministic controls on Musical items.

  • DREAM: Dynamic Refinement of Early Assignment Mappings cs.IR · 2026-06-05 · unverdicted · none · ref 49

    DREAM proposes intent-aware tokenization, frozen-model evaluation, and dynamic beams to refine early SID assignments and improve cold-start performance in generative recommenders on Amazon benchmarks.