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The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce
Large Language Models (LLMs) are increasingly used to annotate structured product data in e-commerce, but early deployment often begins as a cold-start problem: only limited pre-launch labels are available, the value of expensive reasoning is unknown, and human review is needed before the system can be trusted at scale. This challenge is especially common in rule-based annotation workflows, where each item must satisfy multiple business rules and both model errors and ambiguous rule boundaries affect final decisions. We introduce the Differential Reasoning Router (DRR), a cost-aware framework
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T04:11:39.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.