AIBullisharXiv – CS AI · 6h ago7/10
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PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
Researchers introduce PRISM, a training-free framework for efficiently selecting visual instruction data for multimodal language models that reduces computational costs to 30% of conventional pipelines while improving performance across multiple benchmarks. The method addresses global semantic drift caused by anisotropic visual feature distributions, enabling more efficient model fine-tuning without sacrificing quality.