Intent Classification

Intent classification, a core natural language processing task, aims to automatically categorize text or speech into predefined intents, reflecting the user's goal or purpose. Current research heavily utilizes large language models (LLMs), often fine-tuned or adapted through techniques like contrastive learning and prompt engineering, to improve accuracy, particularly in low-resource settings and for handling out-of-distribution inputs. This field is crucial for developing robust conversational AI systems, improving the efficiency of information retrieval, and enabling more intuitive human-computer interaction across various applications.