39 citations · 88 across the 8 of their papers we have counts for
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cs.SE2024★ 5 cited
CodeMind: Evaluating Large Language Models for Code Reasoning
Changshu Liu, Yang Chen, Reyhaneh Jabbarvand
Large Language Models (LLMs) have been widely used to automate programming tasks. Their capabilities have been evaluated by assessing the quality of generated code through tests or…
cs.SE2023★ 24 cited
Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT
Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang +3
Deep Learning (DL) library bugs affect downstream DL applications, emphasizing the need for reliable systems. Generating valid input programs for fuzzing DL libraries is challengin…