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Interleaved Head Attention Improves Transformer Architecture

“Interleaved Head Attention” A core limitation of transformers is that standard attention gives you H isolated heads, which means you only get H independent attention patterns. So this paper lets heads mix before attention by creating pseudo-heads from learned combinations of

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