这篇论文主要介绍了一种名为PMET(Precise Model Editing in a Transformer)的新技术,用于修改大型语言模型(LLM),以提高其精度和效率。PMET技术的核心思想是通过编辑模型中的事实知识来改进其性能。具体来说,PMET技术通过以下步骤实现: 1. 从外部知识库中获取一组与模型相关的事实知识。 2. 将这些事实知识添加到...
17 Aug 2023·Xiaopeng Li,Shasha Li,Shezheng Song,Jing Yang,Jun Ma,Jie Yu· Model editing techniques modify a minor proportion of knowledge in Large Language Models (LLMs) at a relatively low cost, which have demonstrated notable success. Existing methods assume Transformer Layer (TL) hidden st...
paper: https://arxiv.org/pdf/2308.08742v2.pdfTL,DR: 在MEMIT 的基础上,加了一点点微小的改动。 对比之前的方法直接对输出的 h 进行处理,获得需要编辑的量。这篇文章分别对 MHSA 的输出与 FFN 的输出进行处理…
Pacal I (2024) Enhancing crop productivity and sustainability through disease identification in maize leaves: exploiting a large dataset with an advanced vision transformer model. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2023.122099 Article MATH Google Scholar Kunduracioglu I, Pacal I (202...
The model directly transforms the system architecture into an equivalent probability network, aiming to develop a precise reliability model that captures system functions and fault logic. By classifying APS components into five distinct structural patterns and mapping them to corresponding nodes in the ...
based diagnoses. Based on a Transformer component, the Focal Loss-Swin-Transformer Network (FL-STNet) model was introduced for lung adenocarcinoma classification [8], which exhibited efficacy in capturing both the overall tissue structure and local details. In a parallel context, an adaptive model ...
In addition, the WISE-IOU (WIoU) loss function was introduced to improve the robustness and generalization of the model [12]. This is essential in real-world situations where sample variability and the effects of outliers are common. This enhancement was achieved via a refined feature layer ...
Keywords: ADAS; adverse weather; weather classification; artificial intelligence; deep learning; Vision Transformer; LSTM; automotive; LiDAR; precipitation measurement Graphical Abstract 1. Introduction In the rapidly growing field of automated mobility, optical sensors, particularly light detection and ranging...
Initially, the high-frequency response parameters are measured by performing a winding accelerated aging test, and the insulation degradation state of the transformer is monitored based on the existing methods and the DSHI-based method presented in this paper. Subsequently, to verify the accuracy of...
Furthermore, the DETR [21] model is a direct set prediction object detection model based on the transformer architecture and bipartite matching loss, with one of its core designs being the computation of loss through a bipartite matching process. Despite their application in various domains, the ...