1 citations · 1 across the 2 of their papers we have counts for
3 papers
Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials
Marius Tacke, Matthias Busch, Kian Abdolazizi +4
Large language model (LLM)-based agentic frameworks increasingly adopt the paradigm of dynamically generating task-specific agents. We suggest that not only agents but also special…
From Model Training to Model Raising
Roland Aydin, Christian Cyron, Steve Bachelor +2
Current AI training methods align models with human values only after their core capabilities have been established, resulting in models that are easily misaligned and lack deep-ro…
Active partitioning: inverting the paradigm of active learning
Marius Tacke, Matthias Busch, Kevin Linka +2
Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel,…