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Automated robustness testing for LLM-based natural language processing software

delete2025-12-04
delete0
PRE
AI
M
Mingxuan Xiao
X
Xiao Yan
S
Shunhui Ji
H
Hanbo Cai
L
Lei Xue
P
Pengcheng Zhang
DOI：10.1016/j.eswa.2025.130642delete
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摘要

摘要

En 中文
• 提出 AORTA，一种用于基于 LLM 的 NLP 软件的自适应鲁棒性测试框架。 • 开发 ABS，一种采用自适应束搜索和回溯的高效测试方法。 • 实现平均测试有效性为 86.1。 • 相较于最强基线，每个测试用例减少测试成本高达 3442 秒和 219 次查询。

期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
3.0W
被引数:
10.2W

机构

H
Hohai University
学者数:
2.3W
论文数: 1.8W
被引数: 2.1W
S
Suzhou Vocational Institute of Industrial Technology
学者数:
13
论文数: 9
被引数: 224
引用论文

引用论文

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