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News/On the Expressive Power of Transformers for Contextual Relations
arxiv
PublishedSeptember 29, 2026 at 4:00 AM
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On the Expressive Power of Transformers for Contextual Relations

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arXiv:2603.25860v4 Announce Type: replace-cross Abstract: Transformers have revolutionized machine learning by making attention a central mechanism for modeling interactions within a context. Despite the central role of attention, the theoretical capabilities of Transformers for representing context

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