38 citations · 49 across the 20 of their papers we have counts for
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cs.CL2024★ 5 cited
Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
Dan Saattrup Nielsen, Kenneth Enevoldsen, Peter Schneider-Kamp
This paper explores the performance of encoder and decoder language models on multilingual Natural Language Understanding (NLU) tasks, with a broad focus on Germanic languages. Bui…
cs.LG2024★ 38 cited
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data
Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek +1
With the growing demand for synthetic data to address contemporary issues in machine learning, such as data scarcity, data fairness, and data privacy, having robust tools for asses…