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20242026
most citedCode Repair with LLMs gives an Exploration-Exploitation Tradeoff

3 citations · 6 across the 9 of their papers we have counts for

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cs.SE2024

Assessing Code Generation with Intermediate Languages

Xun Deng, Sicheng Zhong, Honghua Dong +4

Intermediate step methodologies like chain of thoughts (COT) have demonstrated effectiveness in enhancing the performance of Large Language Models (LLMs) on code generation. This s…

cs.SE2024★ 3 cited

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

Hao Tang, Keya Hu, Jin Peng Zhou +4

Iteratively improving and repairing source code with large language models (LLMs), known as refinement, has emerged as a popular way of generating programs that would be too comple…