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An example of a sentence reordering task involves a pair of logically consecutive sentences, such as 'Hard work leads to success. Success brings happiness.'. This sequence can be intentionally corrupted by reordering the sentences to create a shuffled input, for instance: 'Success brings happiness. Hard work leads to success.'. A model is then trained to learn the original, correct order from such corrupted examples.

Example of a Sentence Reordering Task

A language model is trained to restore the original order of shuffled sentences to learn about logical coherence. Below is a set of sentences that have been shuffled. Arrange them in the most logical and coherent order.

A developer observes that their language model generates responses that are grammatically correct but often lack logical flow, with sentences that don't connect coherently. Based on methods for training models to understand text structure, describe a specific training task the developer could implement to address this issue and explain why this task would be effective.

Improving Model Coherence

A model is being trained to understand the logical flow of text by learning to restore the original order of sentences from a shuffled sequence. Which of the following training data pairs correctly represents this task?

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