2 citations · 3 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
CodeJudge: Evaluating Code Generation with Large Language Models
Weixi Tong, Tianyi Zhang
Large Language Models (LLMs) have shown promising performance in code generation. However, how to reliably evaluate code generated by LLMs remains an unresolved problem. This paper…
cs.SE2024★ 2 cited
Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models
Zhijie Wang, Zijie Zhou, Da Song +4
Large Language Models (LLMs) have demonstrated unprecedented capabilities in code generation. However, there remains a limited understanding of code generation errors that LLMs can…