Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers

arXiv:2502.20681v3 Announce Type: replace-cross Abstract: Transformers may exhibit two-stage training dynamics during the real-world training process. For instance, when training GPT-2 on the Counterfact dataset, the answers progress from syntactically incorrect to syntactically correct to semantically correct. However, existing theoretical analyses hardly account for this…

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Source: cs.AI updates on arXiv.org

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