Unverified50% confidenceOpinionExact time
IDM performs global alignment in the item space, while CMM performs local alignment in the code space; the two objectives are complementary and together constitute a complete distillation framework.
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10/26/2026
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UnverifiedThis paper proposes a novel knowledge distillation framework for parallel semantic ID recommenders, comprising two complementary distillation objectives: Item Distribution Matching (IDM) and Code Marginal Matching (CMM).63% similarUnverifiedCLM uses a dual-encoder architecture: one encoder reads the current context, and the other encodes each possible action separately, with the final decision being the action closest to the context in embedding space.63% similarUnverifiedM-plicits unifies multiple levels of detail into a single representation, organized into a hierarchical structure through nested residuals, enabling controllable noise/detail trade-offs.62% similarUnverifiedAdaMem uses a shared, query-conditioned compressor that simultaneously produces continuous passage memory representations and a relevance score for each passage in a single forward pass.62% similarUnverified按特性（Feature）分层完成是Spec Coding的实践方式，每个特性有明确规格边界，AI在边界内工作62% similar
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