Author

Markus Enzweiler

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Preprint Sep 2026

Relationally Grounded Latent World Models for Autonomous Driving

This work constructs actor-centric scene graphs from nuScenes 3D annotations, encode their serialized relational structure using a frozen text embedding model, and align the visual latent representations with this semantic target during training, supporting the benefit of explicit relational structure for latent world-...

Fabian Schmidt, Markus Enzweiler, Abhinav Valada · 0 citations

#artificial intelligence Preprint Sep 2026

Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability Detection

This work studies six open-source RAG4SVD systems and addresses reproducibility and comparability challenges through reproduction of their experimental settings under an open-weight setting, and presents a unified benchmark using a common dataset, metric suite, and pool of open-weight models.

Sabrina Kaniewski, Tim Krämer, Julius Bächle et al. · 0 citations