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Author

Tobias Braun

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#artificial intelligence Preprint Oct 2026

U-Space: Uncovering When and Why Uncertainty Arises in Language Models

Large language models are informing decisions with ever-higher stakes. As the consequences of their errors grow, a central question becomes harder to ignore: how much can we trust an individual answer? Yet recognizing when to defer remains difficult because language models can present incorrect conclusions with fluent...

Tobias Braun, Nils Loose, Alexander Herzog et al. · 0 citations
#computer vision Conference Dec 2024

DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts

Evaluation on the popular benchmarks VERITE, AVerITeC, and MOCHEG shows that DEFAME surpasses all previous methods, establishing itself as the new state-of-the-art fact-checking system for uni- and multimodal fact-checking.

Tobias Braun, Mark Rothermel, Marcus Rohrbach et al. · 57 citations · ⚡11

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