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Curation of training data for brevity can yield a staggering 35x improvement in inference efficiency without sacrificing accuracy in VLMs.
Multilingual interference isn't a fundamental capacity limit, but a data problem: targeted curation of just 8% of your training data can yield 4-10x FLOPs savings.
