2 citations · 3 across the 6 of their papers we have counts for
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cs.SE2025
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di, Tianyi Zhang
Large Language Models (LLMs) have demonstrated unprecedented capability in code generation. However, LLM-generated code is still plagued with a wide range of functional errors, esp…
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…