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Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear

Futrell and Mahowald (2025) frame the success of neural language models (LMs) as supporting gradient, usage-based linguistic theories. I argue that LMs can also instantiate theories based on formal structures - the types of theories seen in the generative tradition. This argument expands the space of theories that can be tested with LMs, potentially enabling reconciliations between usage-based and generative accounts.

preprint2026arXivOpen access
R. Thomas McCoy
Computation and LanguageArtificial Intelligence
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