Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents 事件

Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents arXiv:2605.24366v1 Announce Type: new Abstract: Large Language Models (LLMs) have been widely adopted in conversational applications. However, their reliance on parametric knowledge limits reliability in real-world scenarios that require dynamic or domain-specific information. Retrieval-Augmented Generation (RAG) addresses this limitation by incorporating external knowledge during generation