mixture-of-recursions-adaptive-computation

Build parameter-efficient models that assign different computation depths per token via learned routing, combining weight sharing with dynamic computation complexity. Use when you need to maximize model capacity within compute budgets or create models that allocate compute adaptively based on token complexity.

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