Comparative Analysis of Embedding, LLM, and RAG-Based Approaches for OOD Intent Detection
Out-of-distribution (OOD) intent detection remains a critical challenge for deploying conversational agents in realworld scenarios. This paper presents a comparative analysis of three distinct paradigms for OOD detection: embedding-based semantic similarity, zero-shot Large Language Model (LLM) reasoning, and Retrieval...