Comments (6)
I think it's reasonable too. Serac replaces large models with smaller ones, so its logical reasoning ability will be somewhat weaker.
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Hi, do you have any further questions?
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但是large models的output使用的是编辑前的知识,按理说是不能输出正确答案的。
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During prediction, we used the teacher forcing mechanism. For example, when predicting the third token of the label, the model can see the first two correct labels, which may result in the accuracy before editing not being zero.
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Hi, do you have any further questions?
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Related Issues (20)
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