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cs.CL 1

years

2024 1

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REJECT 1

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Does Self-Attention Need Separate Weights in Transformers?

cs.CL · 2024-11-30 · reject · novelty 4.0

Shared-weight self-attention, using one matrix and three diagonal scalers for Q, K, and V, cuts BERT's attention parameters by two-thirds while giving roughly comparable GLUE accuracy, though claimed accuracy gains are not supported.

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  • Does Self-Attention Need Separate Weights in Transformers? cs.CL · 2024-11-30 · reject · none · ref 1

    Shared-weight self-attention, using one matrix and three diagonal scalers for Q, K, and V, cuts BERT's attention parameters by two-thirds while giving roughly comparable GLUE accuracy, though claimed accuracy gains are not supported.