arXiv: cs.AI preprintsInternational6 November 2026
The State-Prediction Separation Hypothesis
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arXiv:2607.01218v2 Announce Type: replace-cross Abstract: Transformers use the same forward computation stream to both predict the next token and store useful state for future token predictions. We formulate the state-prediction separation hypothesis: disentangling the two roles yields better language modeling performance. We design a Transformer variant that uses separate computation streams to separate the two functions, and conduct pretraining experiments across various scales. Our experiments show that state-prediction separation consistently offers better data- and compute-efficiency, imp
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