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Jiaheng Huang is a graduate student researcher at Johns Hopkins Bloomberg School of Public Health.
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New transformer trick cuts training compute by up to 18% by looping middle layers twice
arXivpositiveSep 4, 2026
“Researcher who contributed to SMELT paper on looped transformers cutting training compute.”