Why Natural Language Inference Models Perform Exceptionally Well at Intent Detection

This paper explores how Natural Language Inference (NLI) models, pre-trained on entailment tasks, naturally generalize to intent detection. It discusses the semantic reasoning capabilities that make NLI models effective for zero-shot classification and real-world applications such as fraud, phishing, and conversational AI.