Example of Defining Answer Semantics for Grammaticality Judgment

Example of Defining Category Semantics in a Polarity Classification Prompt

A data scientist is using a language model to classify customer feedback into 'Bug Report' or 'Feature Request'. Their initial prompt is: Feedback: 'The app crashes when I try to upload a photo.' What kind of feedback is this? They observe that the model's outputs are inconsistent, including responses like 'This is a bug report,' 'It seems like a bug,' and 'The user is reporting a problem with the app.' Which of the following revised prompts best addresses this inconsistency by explicitly defining the required output format and the meaning of the categories?

Improving Prompt Specificity for Automated Data Extraction

Refining a Prompt for Feature Request Identification

Example of a Constraint-First Prompt for Grammaticality Judgment