Autoregressive transformers achieve 100% first-order exemplar retrieval but only chance-level second-order generalization to novel nouns on controlled synthetic word-learning tasks.
Human-like systematic generalization through a meta-learning neural network
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Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
Autoregressive transformers achieve 100% first-order exemplar retrieval but only chance-level second-order generalization to novel nouns on controlled synthetic word-learning tasks.