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Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation
This paper investigates structural priming in language model (LM) production, examining how preceding structural context influences sentence completion. While prior work has demonstrated priming effects in comprehension of structural alternations, it remained unclear whether these persist in production, where, when generating, an LM samples from many possible continuations at each step. We address this question through a series of controlled sentence-completion experiments on dative constructions. In line with prior work, we find that LMs are susceptible to structural priming, particularly in
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T21:07:43.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.