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cs.CL2025
Classifying German Language Proficiency Levels Using Large Language Models
Elias-Leander Ahlers, Witold Brunsmann, Malte Schilling
Assessing language proficiency is essential for education, as it enables instruction tailored to learners needs. This paper investigates the use of Large Language Models (LLMs) for…
cs.LG2025
Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
Victoria Hankemeier, Malte Schilling
Developments in Deep Learning have significantly improved time series forecasting by enabling more accurate modeling of complex temporal dependencies inherent in sequential data. T…