Author

Daniel Schuster

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#artificial intelligence Preprint Sep 2026

Automated Event Log Generation from Unstructured Text Using Finetuned LLMs

A scalable framework that leverages LLMs as data translators to bridge the gap between unstructured textual resources and structured event data is proposed, and finetuning LLMs on a newly created text-to-log dataset shows that the resulting models can extract high-fidelity event logs from unstructured resources.

Maximilian Seeth, G. Tavares, Daniel Schuster · 0 citations