In-context batching of LLM ad-tagging with XML item delimiters and a client-side correction layer preserves downstream AUC at batch size 20 while cutting token cost by 89%.
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PromptPack: Scaling LLM Annotation Agents for Online Recommendation
In-context batching of LLM ad-tagging with XML item delimiters and a client-side correction layer preserves downstream AUC at batch size 20 while cutting token cost by 89%.