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Transformers Learning Multiplication Through Auxiliary Loss

Why Can't Transformers Learn Multiplication? This paper found that plain training never builds long-range links of multiplications. So by adding a new auxiliary loss that predicts the “running sum”, it enables the model to successfully learn multi-digit multiplication!

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