ine knowledge from different behaviors of the same attention mecha
ads can be computed in parall
In practice, given the same set of queries, keys, and values we may want our model to combine knowledge from different behaviors of the same attention mechanism, such as capturing dependencies of various ranges (e.g., shorter-range vs. longer-range) within a sequence. Thus, it may be beneficial to allow our attention mechanism to jointly use differ...
independently learned linear projections. Then these
projected queries, keys, and values are fed into attention pooling in parallel.
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