AIHow language models represent grammaticality
A new preprint’s coauthor says many neural language models show abstract separation in their internal representations based on whether language is grammatical.
TLDR
A new preprint examines whether grammaticality is a major organizing principle in neural language models. Announcing the work, a coauthor reports that many models show abstract separation in their representations on this basis. The authors believe the findings address debates about confounding factors in measuring models’ grammatical knowledge.
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How language models represent grammaticality
A new preprint’s coauthor says many neural language models show abstract separation in their internal representations based on whether language is grammatical.