Rationale for Sentence-Level Corruption
A language model is being trained on multi-sentence documents, such as news articles, using a denoising objective. The training data is already being corrupted by masking random individual words. Explain why it would be beneficial to also introduce corruption methods that operate at the sentence level.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Sentence Reordering as an Input Corruption Method
Document Rotation as an Input Corruption Method
A research team is training a model on multi-paragraph documents. Their primary goal is to ensure the model learns the logical flow and coherence between sentences, not just the relationships between words within a single sentence. Which of the following input corruption strategies is specifically designed to target this higher-level, inter-sentence understanding?
Rationale for Sentence-Level Corruption
A language model is being trained using a denoising objective, where it learns to reconstruct original text from a corrupted version. Match each type of input corruption with the primary linguistic feature it forces the model to learn.