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Tests a ternary-weight reasoning method against a baseline in logic problems, showing better performance with implications for architecture design.
We test whether a dedicated ternary-weight reasoning component outperforms a homogeneous MLP baseline on multi-step logic problems requiring generalization to unseen entities. In two runs, the reasoning component outperformed the baseline by 12.2% and 19.6% respectively, while the baseline overfit and stalled. We propose a full architecture built on this result, with separate components for reasoning and language.
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Benjamin Cowherd (2026) studied this question.
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