
The author argues that training language models on children's stories can lead to rapid learning and understanding of consistent and grammatical storytelling, offering new insights into training larger models.


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To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

Tiny Language Models Thrive With GPT-4 as a Teacher | Quanta Magazine

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Training Language Models with Children's Stories: A New Approach


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Training a language model with semiparametric token-sequence co-supervision enhances generalization and robustness, bridging parametric and nonparametric embedding spaces.


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Semiparametric Token-Sequence Co-Supervision Method for Language Models
