LEAP: Efficient and Automated Test Method for NLP Software

22 August 2023

Papers citing "LEAP: Efficient and Automated Test Method for NLP Software"

7 / 7 papers shown

Title
No Query, No Access Luu Anh Tuan Siyuan Liang Yuyao Zhang Xiaojun Jia Hao Lin Xiaochun Cao AAML 26 0 0 12 May 2025
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation Zhijie Wang Zhehua Zhou Jiayang Song Yuheng Huang Zhan Shu Lei Ma LM&Ro 71 5 0 19 Sep 2024
RITFIS: Robust input testing framework for LLMs-based intelligent software Ming-Ming Xiao Yan Xiao Hai Dong Shunhui Ji Pengcheng Zhang AAML 42 5 0 21 Feb 2024
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 49 78 0 09 Aug 2021
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018