## Recent Advances in Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) is experiencing significant advancements aimed at improving the capabilities of Large Language Models (LLMs) in question answering and complex task performance. These developments span areas including spatial reasoning, multimodal integration, uncertainty quantification, and security vulnerability assessment. The core principle of RAG, incorporating external knowledge to enhance LLM responses,...
Source: https://arxiv.org/abs/2605.29956v1
- large-language-model
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