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News/An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars
arxiv
PublishedJuly 20, 2026 at 4:00 AM
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An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars

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arXiv:2606.17522v2 Announce Type: replace Abstract: Deep neural networks are widely believed to derive their expressive power from their ability to form \textbf{hierarchical representations}, capturing progressively more abstract and compositional features across layers. In language modeling, \textb

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