一句话：指出现有研究对字节码自然性探索不足，为用字节码训练语言模型提供动机。
该论文关注字节码指令的自然性（naturalness）这一尚未被充分研究的问题。字节码因可用性高、规范简单等优势而被广泛用于软件分析等任务；作者认为，若要将这些优势用于训练语言模型，就必须先清楚地认识字节码自然性的特征。然而，目前针对字节码自然性的探索并不活跃，因此本文提出并强调这一问题，为后续刻画字节码的统计规律与特征奠定动机。摘要未给出具体方法、数据集与评估结果。
Bytecode is used in software analysis and other approaches due to its advantages such as high availability and simple specification. Therefore, to leverage these advantages in training language models with bytecode, it is important to clearly recognize the characteristics of the naturalness of bytecode. However, the naturalness of bytecode has not been actively explored.
DOI 原文 ·
@inproceedings{paperbot7362,
title = {On the Naturalness of Bytecode Instructions},
author = {Yoon-Ho Choi and Jaechang Nam},
booktitle = {ASE},
year = {2022},
doi = {10.1145/3551349.3559559}
}