most citedCode Repair with LLMs gives an Exploration-Exploitation Tradeoff

3 citations · 5 across the 3 of their papers we have counts for

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cs.SE2025

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency

Junwei Hu, Weicheng Zheng, Yihan Liu +1

With the increasing adoption of large language models (LLMs) in software engineering, the Chain of Thought (CoT) reasoning paradigm has become an essential approach for automated c…

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…