LLMver_v1
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% 缩写定义
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\Abbreviations{ \centering
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\Abbreviations{
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\begin{longtable}{@{}p{0.16\textwidth}p{0.46\textwidth}p{0.30\textwidth}@{}}
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\renewcommand{\arraystretch}{1.2}
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\begin{tabular}{lll}
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\textbf{外文缩略字母} & \textbf{外文全称} & \textbf{中文说明}\\
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\midrule
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\endfirsthead
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\textbf{外文缩略字母} & \textbf{外文全称} & \textbf{中文说明}\\
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\midrule
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\endhead
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\multicolumn{3}{r}{\small 续下页}\\
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\endfoot
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\endlastfoot
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% 模型与架构
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LLM & Large Language Model & 大语言模型\\
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FFN & Feed-Forward Network & 前馈网络\\
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@@ -36,24 +43,10 @@
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IDCT & Inverse Discrete Cosine Transform & 逆离散余弦变换\\
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FiLM & Feature-wise Linear Modulation & 特征级线性调制\\
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\\
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% 评测与数据
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POI & Point of Interest & 兴趣点\\
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QA & Question Answering & 问答\\
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ETA & Estimated Time of Arrival & 预计到达时间\\
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GPS & Global Positioning System & 全球定位系统\\
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WGS84 & World Geodetic System 1984 & 1984世界大地坐标系\\
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\\
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% 评估指标
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MAE & Mean Absolute Error & 平均绝对误差\\
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RMSE & Root Mean Square Error & 均方根误差\\
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MAPE & Mean Absolute Percentage Error & 平均绝对百分比误差\\
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HR & Hit Ratio & 命中率\\
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NDCG & Normalized Discounted Cumulative Gain & 归一化折损累计增益\\
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PPL & Perplexity & 困惑度\\
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BLEU & Bilingual Evaluation Understudy & 双语评估替补\\
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ROUGE & Recall-Oriented Understudy for Gisting Evaluation & 面向召回的摘要评估\\
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\\
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% 深度学习基础
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CNN & Convolutional Neural Network & 卷积神经网络\\
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RNN & Recurrent Neural Network & 循环神经网络\\
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GNN & Graph Neural Network & 图神经网络\\
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\end{tabular}
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\end{longtable}
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}
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