Author

Roman Rausch

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#artificial intelligence Preprint Jan 2026

LLM Compression by Block Removal with Constrained Binary Optimization

This paper forms the compression of large language models (LLMs) by optimally deleting transformer blocks (``block removal'') as a constrained binary optimization (CBO) problem that can be mapped to a physical system (Ising glass), whose energies are a strong proxy for downstream model performance.

David Jansen, Roman Rausch, Ali Hashemi et al. · 2 citations · ⚡2