Reducing hallucination in structured outputs via Retrieval-Augmented Generation

arXiv:2404.08189v1 Announce Type: new
Abstract: A common and fundamental limitation of Generative AI (GenAI) is its propensity to hallucinate. While large language models (LLM) have taken the world by storm, without eliminating or at least reducing hallucinations, real-world GenAI systems may face challenges in user adoption. In the process of deploying an enterprise application that produces workflows based on natural language requirements, we devised a system leveraging Retrieval Augmented Generation (RAG) to greatly improve the quality of the structured output …

abstract adoption arxiv challenges cs.ai cs.cl cs.ir cs.lg face genai generative hallucination hallucinations language language models large language large language models least llm process retrieval retrieval-augmented storm systems type via world