2 papers
cs.CL2026
LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
Hailay Teklehaymanot, Dren Fazlija, Wolfgang Nejdl
Adapting pretrained language models to low-resource, morphologically rich languages remains a significant challenge. Existing vocabulary expansion methods typically rely on arbitra…
cs.CV2026
Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency
Alexander Blezinger, Wolfgang Nejdl, Ming Tang
Foundation models pretrained on large-scale histopathology data have found great success in various fields of computational pathology, but their impact on regressive biomarker pred…