Author

Julia E. Vogt

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#machine learning Preprint Sep 2026

ConRAG: Lightweight inference of multi-hop relations

Understanding how two entities are connected often requires tracing multi-hop relations across documents to identify intermediate entities and supporting evidence that explain a connection. This is a task that appears frequently in scientific research and other knowledge-intensive analyses. We formalise this setting as...

Kilian Bänziger, Sonia Laguna, Markus Kreft et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

Cardiovascular diagnosis and treatment rest on integrating complementary modalities, such as electrocardiogram, echocardiography, and chest X-rays, each capturing distinct but complementary aspects of cardiac pathophysiology. Yet most medical foundation models remain modality-specific, combining modalities only for fin...

Andrea Agostini, Simon Böhi, Moritz Vandenhirtz et al. · 0 citations