Abstract: Tensor decomposition methods for signal processing applications are an active area of research. Real data are often low-rank, noisy, and come in a higher-order format. As such, low-rank ...
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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Transient thermal expansion cracking agent is a novel and high-performance material, ...
Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...
Material analysis in sandstone is essential for oil and gas extraction. Energy spectrum Computed Tomography (CT) can acquire various spectrally distinct datasets and reconstruct energy-selective ...
We propose adding a new parameter-efficient fine-tuning method based on adaptive singular value decomposition (SVD) for continual learning in LLMs. The core idea is to decompose weight matrices into ...
Abstract: Frequency-domain reflection (FDR) stands as an effective technique for localizing cable defects. To address the issue of the significant influence of window functions and interference ...
Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates ...
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