3 citations · 3 across the 2 of their papers we have counts for
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cs.SE2026
DeepGroundRepair: From API-Grounded Generation to Shape-Aware Repair for Deep Learning Programs
Xiangyue Ma, Zhen Wang, Xuhui Lu +5
Deep learning programs are fundamental to modern AI applications, and automatically generating them from natural language requirements can substantially reduce DL development effor…
cs.SE2026
Failure-Based Testing for Deep Reinforcement Learning Agents
Weibin Lin, Jiangtao Meng, Zheng Zheng
Deep Reinforcement Learning (DRL) agents have been widely adopted across diverse domains to address challenging decision-making problems, such as autonomous driving and robotic con…
cs.SE2024★ 3 cited
Metamorphic Relation Generation: State of the Art and Visions for Future Research
Rui Li, Huai Liu, Pak-Lok Poon +5
Metamorphic testing has become one mainstream technique to address the notorious oracle problem in software testing, thanks to its great successes in revealing real-life bugs in a…