Researchers propose FEM-ASM to separate storage, execution, and coordination in language models
The article introduces FEM-ASM, a finite-element-method-inspired organization for language models that separates contextual computation, persistent storage, and exact execution. It uses independently constructed document states and deterministic executable skills that contribute typed proposals to a shared model state, reconciled by an explicit residual operator. The approach is evaluated…
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Key points
- FEM-ASM separates document states, executable skills, and a shared model state with a residual operator
- Versioned store has 52,809 reconstructive memory elements near a 1.7-billion-floating-value budget
- Reconstruction achieves approximately 75% token accuracy; positional observations improve neural rendering
Read the original at arXiv cs.AI · by A. Bochkov primary sourceOpen source ↗
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FEM-ASM
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