Concept

Sentence Reordering as an Input Corruption Method

Sentence reordering is a data corruption technique applied to multi-sentence inputs where the original order of sentences within a document is randomly shuffled. The model is then trained on this permuted sequence with the objective of learning to restore the sentences to their correct, logical order.

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Updated 2026-04-17

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Ch.1 Pre-training - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences