Formula for Label Selection via Probability Maximization

Example of a Prompt for Polarity Classification (Negative Sentiment)

Example of a Simple Prompt for Polarity Classification

A developer is using a large language model to classify customer feedback into one of three categories: 'Positive', 'Negative', or 'Neutral'. The model correctly identifies the sentiment but often generates free-form text like 'The customer seems unhappy' instead of the specific label 'Negative'. This inconsistency is causing problems for a data analysis pipeline that expects one of the three exact labels. Which of the following approaches would be the most direct and reliable way to ensure the

Automating Support Ticket Classification

Mechanism of Constrained Prediction