Multiple Choice Flashcards

Adding more category names without collecting labeled examples for those categories Training examples, label consistency, class balance, representative text, and evaluation results Raising the confidence threshold before checking whether the model learned the new labels Routing every low-confidence result to manual review without investigating the classifier data