arxiv
PublishedApril 3, 2026 at 4:00 AM
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QUEST: A robust attention formulation using query-modulated spherical attention
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arXiv:2604.00199v1 Announce Type: cross Abstract: The Transformer model architecture has become one of the most widely used in deep learning and the attention mechanism is at its core. The standard attention formulation uses a softmax operation applied to a scaled dot product between query and key v
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Originally published on arxiv ↗