TRACE, a novel framework for automated catalog attribute enrichment using agentic Large Language Models (LLMs), triangulates multimodal evidence across merchant catalogs, syndicated feeds, and identity-matched web search to propose candidate attribute values with supporting evidence, and verifies the proposed value aga...
Rohan Kumar, Steven Xu, Kyle MacDonald et al.· 0 citations
Multi-merchant e-commerce catalogs contain equivalent and related products under different merchant-scoped identifiers, fragmenting behavioral evidence across merchants. Expert-defined taxonomies, meanwhile, are often too coarse for fine-grained discovery. We investigate whether a single hierarchical Semantic ID (\sid{...
Steven Xu, Sanjyot Thete, Saathvik Dirisala et al.· 0 citations
This work proposes Mine and Refine, a two-stage contrastive training framework that establishes a robust global embedding space via label-aware supervised contrastive learning, and substantially improves retrieval and end-to-end relevance metrics.
Jiaqi Xi, Raghav Saboo, Luming Chen et al.· 0 citations
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