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XeeKee avatar XeeKee commented on August 16, 2024

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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zxlzr avatar zxlzr commented on August 16, 2024

Hi, do you have any further questions?

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SXxinxiaosong avatar SXxinxiaosong commented on August 16, 2024

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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XeeKee avatar XeeKee commented on August 16, 2024

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.

outputs = model(**prompt_target_tok)

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zxlzr avatar zxlzr commented on August 16, 2024

Hi, do you have any further questions?

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SXxinxiaosong avatar SXxinxiaosong commented on August 16, 2024

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