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Large Language Models (LLMs) such as CodeLlama, ChatGPT, and Codex have been game-changers in coding tasks, adept at converting between programming tongues, crafting unit tests, and troubleshooting software. Yet they face challenges in generating varied, quality outputs. Traditional sampling often
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