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Blaž Škrlj

2 papers 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…

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arxivcs.LGcs.AI2026-06-29

KnowsTFM: Knowledge-Informed Fine-Tuning of Small Tabular Foundation Models

Boshko Koloski, Xiangjian Jiang, Senja Pollak, Blaž Škrlj, Mateja Jamnik, Nikola Simidjievski

Tabular foundation models have advanced deep learning for tabular data by delivering strong default performance across many small and medium tasks. Yet in niche domains, where data is scarce, high-dimensional, and shifted from the pretraining distribution, they may still fail to…

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