most citedGerman Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CL2026

Profiling German Text Simplification with Interpretable Model-Fingerprints

Lars Klöser, Mika Beele, Bodo Kraft

While Large Language Models (LLMs) produce highly nuanced text simplifications, developers currently lack tools for a holistic, efficient, and reproducible diagnosis of their behav…

cs.CL2024★ 1 cited

German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data

Lars Klöser, Mika Beele, Jan-Niklas Schagen +1

This study pioneers the use of synthetically generated data for training generative models in document-level text simplification of German texts. We demonstrate the effectiveness o…