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Representational Alignment Supports Effective Machine Teaching
A good teacher should not only be knowledgeable; but should be able to communicate in a way that the student understands -- to share the student's representation of the world.
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
In this paper, we conduct systematic experiments and find that scheduled sampling, while it ameliorates exposure bias by increasing model reliance on the input sequence, worsens performance when the prefix at inference time is correct, a form of catastrophic forgetting.
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