CORTEXA
← Browse

Merwan Barlier

1 paper indexed

arxivcs.AI2026-07-10

PromptPack: Scaling LLM Annotation Agents for Online Recommendation

Sebastian Koralewski, Merwan Barlier, Yulia Stolin, Blaž Škrlj

Online recommendation platforms increasingly use Large Language Models (LLMs) to extract structured features from ad creatives. While deploying a single-call LLM annotation agent yields significant Click-Through Rate (CTR) improvements in our live production environment, per-crea…

View free PDFSource page