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Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs

arXiv cs.CL · 2026-05-25 Cached

This paper provides causal evidence that large language models acquire negative linguistic knowledge (what not to say) through statistical preemption, a mechanism from Construction Grammar, by showing that manipulating competing-form frequencies via fine-tuning shifts preemption behavior in predicted directions.

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