AINeutralarXiv – CS AI · 5h ago6/10
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The Scaling Properties of Implicit Deductive Reasoning in Transformers
Researchers demonstrate that Transformer models can perform implicit deductive reasoning over Horn clauses comparably to explicit chain-of-thought approaches when sufficiently deep and properly architected. The findings suggest neural networks can learn to internalize logical reasoning patterns, though explicit reasoning remains superior for extrapolating beyond training depths.