SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation
SPARK is introduced, a novel framework that formulates parametric knowledge control as a latent participation policy learning problem, enabling LLMs to adaptively regulate the contribution of parametric knowledge during generation.
Ruochang Li, Peng-Cheng Huang, Zheng-Hao Liu et al.
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