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.