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
The results show that a shared semantic product hierarchy can support both recommendation and search while preserving the task-specific context required by each application.
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.