Email Triage Taxonomies for LLM Classification
A guide to designing effective email classification taxonomies for LLMs emphasizes that the label set is more critical than the model itself. The author advocates for a four-category system (URGENT, ACTION, FYI, NOISE) because it balances fidelity and model accuracy, with each category mapping directly to a specific response obligation. Concrete examples and time-based definitions are crucial for LLMs to accurately pattern-match and classify emails, ensuring efficient and reliable automated triage. AI
IMPACT Effective taxonomy design can significantly improve the performance and reliability of LLM-based classification systems.