Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.
Qiang Tang receives funding from Google via Digital Future Initiative to support the research on this project. Moti Yung works for Google as a distinguished research scientist. Yanan Li is supported ...
ABSTRACT: The coupled Gross-Pitaevskii equations are the basic model describing the phenomenon of Bose-Einstein condensation. Therefore, the research on the coupled Gross-Pitaevskii equations is very ...
Much ink has been spilled over the high sticker prices and low availability of housing in Greater Boston. Formerly blue-collar towns are now rife with million-dollar homes, and the cost of living in ...
Large language models (LLMs), including GPT-4, LLaMA, and PaLM are pushing the boundaries of artificial intelligence. The inference latency of LLMs plays an important role because of LLMs integration ...
Abstract: The fictitious surface charge method (FSCM) is used for the calculation of the induced electrical field in magnetic stimulation. The method was embedded and optimized in Python. It was ...
The codes are the implementation of the following paper: Weng, X., & Ling, K. V. (2023). Localization with Noisy Android Raw GNSS Measurements. 2023 IEEE Asia Pacific Conference on Wireless and Mobile ...
Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and ...
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