SynGR is a new framework for generative recommendation that constrains overreliance on single modalities to exploit synergistic cross-modal information for better item semantics and user preference modeling.
Quantized-tinyllava: A new multimodal foundation model enables efficient split learning
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SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
SynGR is a new framework for generative recommendation that constrains overreliance on single modalities to exploit synergistic cross-modal information for better item semantics and user preference modeling.