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PRO-LONG boosts LLM performance on long-horizon tasks by 18% while using up to 5.8 times fewer tokens than traditional methods.
Achieve transformer interpretability by disentangling token and context processing streams, with only a 2.5% performance hit using Kronecker mixing.
