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News/A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization
arxiv
PublishedJune 2, 2026 at 4:00 AM

A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization

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arXiv:2606.00230v1 Announce Type: new Abstract: Grokking, the phenomenon in which neural networks generalize long after fitting their training data, has been studied in supervised settings on many epochs. LLM pre-training instead involves next-token prediction over an unlabeled corpus, with limited

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