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Author

Markus Enzweiler

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Preprint Sep 2026

Relationally Grounded Latent World Models for Autonomous Driving

Latent world models learn predictive representations for autonomous driving, but the relational semantics these states preserve often remain implicit. We investigate whether traffic scene graphs can serve as privileged semantic supervision for latent world representations. Building on LAW, we construct actor-centric sc...

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

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