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Computer Science > Machine Learning

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By Sihwa Lee, Jinseok Kim, Yongjik Kim
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference

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By Jiwoong Park, Jinseok Kim, Jungju Oh, Yongjik Kim
| arxiv.org
arXiv:2411.09909 (cs) View PDF Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2411.09909 [cs.AI] (or arXiv:2411.09909v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2411.09909 Submission history From: Jungwook Choi [ view email] [v1] Fri, 15 Nov 2024 03:11:19 UTC (2,467 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai...
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