9 citations · 14 across the 17 of their papers we have counts for
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cs.SE2025
Can Code Language Models Learn Clarification-Seeking Behaviors?
Jie JW Wu, Manav Chaudhary, Davit Abrahamyan +3
Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks. However, a gap remains between their output and the problem-solving strategies of h…
cs.SE2022★ 9 cited
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Anjiang Wei, Yinlin Deng, Chenyuan Yang +1
Deep learning (DL) systems can make our life much easier, and thus are gaining more and more attention from both academia and industry. Meanwhile, bugs in DL systems can be disastr…