Unverified50% confidenceFactExact time
The self-attention mechanism captures dependencies of arbitrary distance in a single forward pass by dynamically computing association weights between an element and all other elements in the sequence, overcoming the long-range dependency difficulties caused by vanishing gradients in RNNs/LSTMs.
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Long-term
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10/9/2026
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