MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data
Large multimodal models have achieved remarkable progress by scaling model capacity and training on massive paired multimodal data. However, this paradigm introduces a fundamental bottleneck: aligned multimodal datasets are expensive to curate, difficult to scale across diverse modality combinations, and increasingly c...
R. Moseley, Md Kaykobad Reza, Ameya Patil et al.
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