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News/Revisiting the Shape Convention of Transformer Language Models
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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Revisiting the Shape Convention of Transformer Language Models

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arXiv:2602.06471v2 Announce Type: replace-cross Abstract: The architectural shape of dense Transformers has remained remarkably stable: narrow-wide-narrow feed-forward networks (FFNs) consume most non-embedding parameters. Motivated by theoretical and empirical evidences that residual wide-narrow-wi

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