Enhancing Preference Labeling with Reasoning
Imagine you are creating a prompt to instruct a language model to choose the better of two summaries for a complex scientific article. Simply asking 'Which summary is better?' often leads to inconsistent results. Describe a specific technique you could add to the prompt to guide the model towards making a more reasoned and reliable choice, and explain why this technique is effective.
0
1
Tags
Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
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