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A study led by Yale computational linguist Tom McCoy and co-authors from Microsoft and NYU finds that large language models implicitly realize symbolic structure within their internal vector representations. Published on arXiv in 2026, the research demonstrates that replacing these vectors with role-filler approximations keeps AI behavior largely unchanged across language, arithmetic, logic, and coding domains.
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