Articles

  • Aug 12, 2024 | arxiv.org | Yifan Song |Xiangguo Sun |Dong Kan |Haojia Zhu

    Want to support truly open science and create access to research, regardless of disability? Sign up for the arXiv Accessibility Forum in September and Learn more.

  • Aug 5, 2024 | mdpi.com | Bo Wang |Yifan Song

    All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

  • Jul 8, 2024 | preprints.org | Bo Wang |Yifan Song

    PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 6 July 2024 / Approved: 8 July 2024 / Online: 8 July 2024 (10:02:57 CEST)Wang, B.; Song, Y. Study on Hydration Heat Effect and Pipe Cooling System of the Mass Concrete Pile Caps. Preprints 2024, 2024070606. https://doi.org/10.20944/preprints202407.0606.v1Wang, B.; Song, Y. Study on Hydration Heat Effect and Pipe Cooling System of the Mass Concrete Pile Caps. Preprints 2024, 2024070606.

  • Feb 27, 2024 | eprint.iacr.org | Yuval Ishai |Yifan Song

    Paper 2024/332 , Technion – Israel Institute of Technology, Institute for Theoretical Computer Science, Institute for Interdisciplinary Information Sciences, Tsinghua University, Shanghai Qi Zhi InstituteAbstract A leakage-resilient circuit for $f:\{0,1\}^n\to\{0,1\}^m$ is a randomized Boolean circuit $C$ mapping a randomized encoding of an input $x$ to an encoding of $y=f(x)$, such that applying any leakage function $L\in \cal L$ to the wires of $C$ reveals essentially nothing about $x$.

  • Sep 19, 2023 | arxiv.org | Nan Yang |Liang Wang |Yifan Song |Wenhao Wu

    [Submitted on 19 Sep 2023 ( v1 ), last revised 21 Feb 2024 (this version, v3)] Title:PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training Download a PDF of the paper titled PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training, by Dawei Zhu and Nan Yang and Liang Wang and Yifan Song and Wenhao Wu and Furu Wei and Sujian Li Download PDF HTML (experimental) Abstract:Large Language Models (LLMs) are trained with a pre-defined context...

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