Lee et al. (2026)

Do Language Models Show Structural Priming Across Different Domains?

Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL), 37-51

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Reference

Lee, S. Y., Scheinberg, R., & Agrawal, A. (2026). Do Language Models Show Structural Priming Across Different Domains?. Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL), 37-51. https://doi.org/10.18653/v1/2026.cdl-1.9

What Rests on This

1 mechanism cites this source. Each finding below is quoted as it appears on that mechanism's own page.

Priming Memory Systems

Measured in AI

Using the materials of a human study in which solving bracketed arithmetic shifted relative-clause attachment in 36 French speakers (in eye movements, among the math-skilled), five current models (Llama 3.3 70B, Qwen3 8B, Kimi K2, gpt-oss-120b and gpt-oss-20b) showed no robust cross-domain priming, even Qwen3, which solved every equation. This one condition falls below people, though the human and model measures differ (eye tracking versus an explicit choice)