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Parameters vs. Context: TRACE Fine-Tuning for Robust Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) mitigates knowledge obsolescence and factual hallucination in large language models by introducing external context. However, when retrieved knowledge conflicts with the model's internal parametric knowledge, the model may either blindly follow misleading context
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