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Arxiv
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MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
- MEG is a parameter-efficient approach for medical knowledge-augmented large language models (LLMs).
- MEG utilizes a lightweight mapping network to incorporate knowledge graph embeddings into LLMs.
- MEG improves the performance of LLMs in interpreting knowledge graph embeddings.
- MEG outperforms specialized models like BioMistral-7B and MediTron-7B in medical knowledge-based question answering.
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