20 citations · 21 across the 5 of their papers we have counts for
3 papers · 1 filter
Performance and Practical Considerations of Large and Small Language Models in Clinical Decision Support in Rheumatology
Sabine Felde, Rüdiger Buchkremer, Gamal Chehab +4
Large language models (LLMs) show promise for supporting clinical decision-making in complex fields such as rheumatology. Our evaluation shows that smaller language models (SLMs),…
Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
Orlando Jähde, Thorsten Weber, Rüdiger Buchkremer
Biased news reporting poses a significant threat to informed decision-making and the functioning of democracies. This study introduces a novel methodology for scalable, minimally b…
ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities
Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer +1
Node embedding refers to techniques that generate low-dimensional vector representations of nodes in a graph while preserving specific properties of the nodes. A key challenge in t…