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This paper introduces the Developmental Sentence Completion Test (DSCT) to evaluate Large Language Models' ability to recognize developmental cognitive stages in text, finding that models perform better on synthetic personas than on real human responses.
This paper presents a computational framework to test competing maturational theories of syntactic development in children, specifically comparing bottom-up versus inward accounts using statistical grammar induction.