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arXiv — cs.AI preprintsInternational15 October 2026

Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning

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arXiv:2609.14421v1 Announce Type: cross Abstract: Recent advances in multimodal foundation models have intensified the need to understand how different modalities share, preserve, and complement information. Mutual Information (MI), the Information Bottleneck (IB), and Partial Information Decomposition (PID) provide complementary perspectives, yet existing studies often treat them as isolated tools. This survey presents an information-theoretic perspective connecting these principles as progressively refined views of multimodal information processing: MI characterizes inter-modal dependency, I
— arXiv — cs.AI preprints

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