Paper reveals NNs implicitly build symbolic structures in vector space
RTomMcCoy · x · 2026-09-02
The paper 'The Emergent Symbolic Structure of Artificial Neural Networks' proposes that neural networks implicitly realize symbolic structure within their vector representations. It shows that a network's vector generation process can be approximated by a closed-form symbolic equation without changing behavior significantly. This holds for both small models and LLMs in math, logic, code, and language.
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