Multiple Choice

A developer is trying to get a language model to classify short movie reviews as 'Positive', 'Negative', or 'Neutral'. They test two different sets of instructions, shown below.

Instructions A: Classify the following movie review. Review: The plot was predictable and the acting was wooden. Classification: Negative

Review: This film was an absolute masterpiece from start to finish. Classification:

Instructions B: Classify the following movie reviews. Review: The plot was predictable and the acting was wooden. Classification: Negative

Review: It wasn't a bad movie, but it wasn't particularly memorable either. Classification: Neutral

Review: This film was an absolute masterpiece from start to finish. Classification: Positive

Review: I have seen better, but it was an enjoyable way to spend an afternoon. Classification:

Why are 'Instructions B' significantly more likely to lead to a correct and reliable classification for the final review compared to 'Instructions A'?

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Updated 2025-09-29

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