Specialization, Diversity, and Scaling in Child-Scale Language Models
arXiv:2610.36679v1 Announce Type: new Abstract: Modern language models are trained on far more language than children experience, but we know much less about learning from small, naturalistic datasets. We train small GPT-2 models on transcripts of speech with children from dense home recordings (Bab
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Steven Y. Feng [ view email ] [v1] Tue, 27 Oct 2026 05:48:01 UTC (838 KB) Full-text links: Access Paper: View a PDF of the paper titled Specialization, Diversity, and Scaling in Child-Scale Language Models, by Steven Y. Feng and Michael C.
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