James Liu

James Liu works on efficient machine learning systems, with research spanning activation sparsity and low-bit model adaptation. Now at Modal after Anthropic and a research internship at Together AI, he co-authored TEAL and BitDelta.

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MIT

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github.com

TEAL: Training-Free Activation Sparsity

James Liu and collaborators’ open-source method and evaluation tools for training-free activation sparsity in large language models.

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James Liu

MIT

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TEAL: Training-Free Activation Sparsity

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