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cs.LG2026
Eliciting associations between clinical variables from LLMs via comparison questions across populations
Fabian Kabus, Kian Kordtomeikel, Thomas Brox +3
The training data of large language models (LLMs) comprises a wide range of biomedical literature, reflecting data from many different patient populations. We investigate how it mi…
cs.LG2026
Embedding interpretable -regression into neural networks for uncovering temporal structure in cell imaging
Fabian Kabus, Maren Hackenberg, Julia Hindel +6
While artificial neural networks excel in unsupervised learning of non-sparse structure, classical statistical regression techniques offer better interpretability, in particular wh…