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arXiv paper proposes entropy-routed mixture of experts for multimodal recommendation

A revised arXiv preprint introduces a multimodal recommendation method that combines collaborative signals with visual and textual item features. It uses modality-guided mixture of structured experts, where entropy-based routing decides how much to rely on each evidence source per user-item interaction. Diagnostic probes trained on individual modalities are used to partition held-out interactions and guide the routing behavior.

multimodal/recommender-systems/mixture-of-experts/arxiv