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University of Sheffield
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MultiHashFormer achieves superior performance over traditional Transformers while maintaining a constant parameter footprint, even with multilingual vocabulary expansion.
Forget scaling laws for synthetic data: structured prompts plus smart data mixing beats bigger generator models and slashes costs by 30x.
