Research paper examining how training task formats and knowledge density affect multimodal model scaling, finding that knowledge density rather than task format choice (caption-first vs VQA-first) is the primary driver of scaling efficiency.
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Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling
Training data density, not task format (caption-first vs. VQA-first), is the primary bottleneck for multimodal model scaling—a finding that could reshape training curricula across vision-language systems.
Thursday, April 16, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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