Parameters vs. Context: TRACE Fine-Tuning for Robust Retrieval-Augmented Generation
arXiv:2609.30337v1 Announce Type: new Abstract: 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 m…
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- 2026-09-28 04:00 · arXiv cs.LG
Parameters vs. Context: TRACE Fine-Tuning for Robust Retrieval-Augmented Generation