Physics of Multimodal Pretraining Explores Knowledge Flow and Modality Synergy
August 6, 2026
This research investigates the mechanics of multimodal pretraining, focusing on knowledge flow, modality synergy, and early unification recipes. The paper aims to define the underlying physics of how different data modalities interact during large-scale training.
HOW THIS AFFECTS YOU
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researcherYou can apply these pretraining recipes to improve the efficiency of multimodal model convergence.