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Model performance for basic medication tasks was consistently poor, highlighting the need for domain-specific training through clinician-annotated datasets and a comprehensive evaluation framework for benchmarking performance.
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...
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.
This work presents a production retrieve-then-match cascade that spends computation in proportion to difficulty: retrieval surfaces plausible matches, a lightweight text cross-encoder auto-resolves the high-confidence majority, and an agentic multimodal vision-language model settles the ambiguous remainder.
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