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Training data influence shifts dramatically over the course of language model pretraining, with literature data dominating early and STEM data taking over later.
Dango not only simulates second language acquisition effectively but also outperforms existing models by mimicking human-like language production patterns.
LLM-generated feedback isn't one-size-fits-all: personality dictates which elements resonate with learners, impacting acceptance and potentially learning outcomes.
