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DLMRec is proposed, a discrete diffusion language model tailored for recommendation that offers a compelling alternative to autoregressive generation and introduces three key components to bridge diffusion language modeling with recommendation.
A comprehensive, domain-wide knowledge graph built with expert-level precision and professionalism is proposed, constructed through a three-stage agentic pipeline that extracts high-fidelity knowledge cores from authoritative textbooks and strengthens structural connectivity through cross-domain augmentation and genera...
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