Researchers investigated how language models learn under curriculum learning (CL), a method where models are trained on simpler inputs before progressing to more complex ones. The study explored whether LMs can reproduce typological tendencies in language, which range from common feature combinations to rare or impossible ones. Findings indicate that CL significantly influences the apparent inductive biases of language models. AI
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IMPACT Investigates how training methodologies like curriculum learning affect language model understanding of linguistic patterns.
RANK_REASON Academic paper on language model learning.