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Clausthal University of Technology
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LLMs struggle with BIM editing, achieving less than 50% accuracy on critical design tasks, revealing a major shortfall in their practical application for engineering workflows.
Systematic feature engineering can outperform advanced model architectures, closing a critical evaluation gap in tabular benchmarks.
Turns out, dataset meta-features can't reliably explain why one tabular model beats another, suggesting tabular data is more heterogeneous than we thought.
