Reciprocal cross-stream depth retrieval improves Transformer pretraining loss across dense and MoE models from 0.1B to 7B.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages =
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Dual Attention Residuals
Reciprocal cross-stream depth retrieval improves Transformer pretraining loss across dense and MoE models from 0.1B to 7B.