1 citations · 2 across the 2 of their papers we have counts for
2 papers
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…
cs.CL2023★ 1 cited
Explaining Relation Classification Models with Semantic Extents
Lars Klöser, Andre Büsgen, Philipp Kohl +2
In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relati…