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cs.SE2025
ABFS: Natural Robustness Testing for LLM-based NLP Software
Mingxuan Xiao, Yan Xiao, Shunhui Ji +3
Owing to the exceptional performance of Large Language Models (LLMs) in Natural Language Processing (NLP) tasks, LLM-based NLP software has rapidly gained traction across various d…
cs.SE2024
Assessing the Robustness of LLM-based NLP Software via Automated Testing
Mingxuan Xiao, Yan Xiao, Shunhui Ji +3
Benefiting from the advancements in LLMs, NLP software has undergone rapid development. Such software is widely employed in various safety-critical tasks, such as financial sentime…
cs.SE2023★ 1 cited
Empirical Study on Transformer-based Techniques for Software Engineering
Yan Xiao, Xinyue Zuo, Lei Xue +3
Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we review the existing literature, examine the suitability…