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Arxiv
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Selective Attention Improves Transformer
- Unneeded elements in the attention's context degrade performance.
- Selective Attention is introduced as a simple parameter-free change to the standard attention mechanism.
- Selective Attention consistently improves language modeling and downstream task performance.
- Selective Attention allows for meaningful reductions in memory and compute requirements during inference.
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