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This decoder-focused approach alters contextual processing mechanisms. In such autoregressive models, each element can only reference preceding elements. To generate a unified vector encapsulating the full input, Harrier employs final-element aggregation. This technique uses the hidden state of the concluding element as the comprehensive text representation, followed by L2 normalization to maintain vector consistency.，更多细节参见向日葵下载
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