53 lines
2.2 KiB
TeX
53 lines
2.2 KiB
TeX
% 缩写定义
|
|
\Abbreviations{
|
|
\begin{longtable}{@{}p{0.16\textwidth}p{0.46\textwidth}p{0.30\textwidth}@{}}
|
|
\renewcommand{\arraystretch}{1.2}
|
|
\textbf{外文缩略字母} & \textbf{外文全称} & \textbf{中文说明}\\
|
|
\midrule
|
|
\endfirsthead
|
|
\textbf{外文缩略字母} & \textbf{外文全称} & \textbf{中文说明}\\
|
|
\midrule
|
|
\endhead
|
|
\multicolumn{3}{r}{\small 续下页}\\
|
|
\endfoot
|
|
\endlastfoot
|
|
% 模型与架构
|
|
LLM & Large Language Model & 大语言模型\\
|
|
FFN & Feed-Forward Network & 前馈网络\\
|
|
GQA & Grouped Query Attention & 分组查询注意力\\
|
|
MHSA & Multi-Head Self-Attention & 多头自注意力\\
|
|
MoE & Mixture of Experts & 混合专家\\
|
|
RoPE & Rotary Position Embedding & 旋转位置编码\\
|
|
\\
|
|
% 适配方法（通用）
|
|
PEFT & Parameter-Efficient Fine-Tuning & 参数高效微调\\
|
|
LoRA & Low-Rank Adaptation & 低秩适配\\
|
|
DoRA & Weight-Decomposed Low-Rank Adaptation & 权重分解低秩适配\\
|
|
AdaLoRA & Adaptive Low-Rank Adaptation & 自适应低秩适配\\
|
|
SFT & Supervised Fine-Tuning & 监督微调\\
|
|
RAG & Retrieval-Augmented Generation & 检索增强生成\\
|
|
\\
|
|
% 本文提出的方法
|
|
CAM & Contextual Attention Modulation & 上下文注意力调制\\
|
|
HyCAM & Hybrid Contextual Attention Modulation & 混合上下文注意力调制\\
|
|
RoSA & RoPE-aware Selective Adaptation & RoPE感知选择性适配\\
|
|
RoAE & RoPE-aware Attention Enhancement & RoPE感知注意力增强\\
|
|
DLS & Dynamic Layer Selection & 动态层选择\\
|
|
DyPAM & Dynamic Positional Attention Modulation & 动态位置注意力调制\\
|
|
CASCADE & Coarse-to-Fine Spectral Cascading & 从粗到细频谱级联\\
|
|
MESSA & Multi-task Efficient Shared-Specific & 多任务高效共享-特有\\
|
|
& \quad Sparse Adaptation & \quad 稀疏适配\\
|
|
\\
|
|
% 信号处理
|
|
DCT & Discrete Cosine Transform & 离散余弦变换\\
|
|
IDCT & Inverse Discrete Cosine Transform & 逆离散余弦变换\\
|
|
FiLM & Feature-wise Linear Modulation & 特征级线性调制\\
|
|
\\
|
|
% 评估指标
|
|
PPL & Perplexity & 困惑度\\
|
|
BLEU & Bilingual Evaluation Understudy & 双语评估替补\\
|
|
ROUGE & Recall-Oriented Understudy for Gisting Evaluation & 面向召回的摘要评估\\
|
|
\\
|
|
\end{longtable}
|
|
}
|