A research team is using a large language model to automatically generate preference labels for pairs of responses to user queries. They observe that for queries requiring nuanced reasoning, the model's preference labels are inconsistent and often seem arbitrary. Which of the following prompt engineering strategies would be most effective at improving the consistency and quality of the preference labels in this scenario?
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Ch.5 Inference - 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
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Empirical Science
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Example of Using CoT in a Preference Labeling Prompt
Improving a Preference Labeling Prompt
A research team is using a large language model to automatically generate preference labels for pairs of responses to user queries. They observe that for queries requiring nuanced reasoning, the model's preference labels are inconsistent and often seem arbitrary. Which of the following prompt engineering strategies would be most effective at improving the consistency and quality of the preference labels in this scenario?
Enhancing Preference Labeling with Reasoning