3 citations · 5 across the 4 of their papers we have counts for
4 papers
Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model
Yuchen Ling, Shengcheng Yu, Chunrong Fang +3
Context: Crowdsourced testing has gained popularity in software testing, especially for mobile app testing, due to its ability to bring diversity and tackle fragmentation issues. H…
PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
Zhihao Lin, Wei Ma, Mingyi Zhou +5
In recent years, Large Language Models (LLMs) have gained widespread use, raising concerns about their security. Traditional jailbreak attacks, which often rely on the model intern…
GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models
Zhibo Zhang, Wuxia Bai, Yuxi Li +6
Large language models (LLMs) have achieved unprecedented success in the field of natural language processing. However, the black-box nature of their internal mechanisms has brought…
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
Zhihao Lin, Wei Ma, Tao Lin +7
Large Language Models (LLMs) have become instrumental in advancing software engineering (SE) tasks, showcasing their efficacy in code understanding and beyond. Like traditional SE…