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What is Retrieval-Augmented Large Language Models For Robust Context-Aware Natural Language Understanding about?
This paper presents a novel approach called Context-Gated Retrieval-Augmented Generation (CG-RAG) to enhance the capabilities of Large Language Models (LLMs) in natural language understanding by integrating a context-aware retrieval mechanism. The proposed method improves the relevance and accuracy of generated responses by selectively filtering and ranking retrieved documents based on contextual information, addressing limitations such as outdated knowledge and hallucinations. Experimental results demonstr
- Author
- International Journal of Innovative Science and Research Technology
- Language
- EN