The Retrieval-augmented generation (RAG) process involves retrieving relevant text and integrating it into the generation pipeline through methods such as concatenation to the original input (Asai et al., 2023), integration into intermediate Transformer layers (Izacard et al., 2023; Borgeaud et al., 2022), and interpolation of token distributions of retrieved text and generated text (Yogatama et al., 2021).

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  Medical Hallucination in Foundation Models and Their ...

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• Medical Hallucination in Foundation Models and Their ... www.medrxiv.org medRxiv via serper
• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept