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Updated: Jan 14, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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通过强化学习来增强代码生成的查询

Dawei Yuan1, Guojun Liang2, Tingting Li3

  • 1School of Computer Science, Guangdong University of Science and Technology, Dongguan, 523083, China. yuandawei@gdust.edu.cn.

Scientific reports
|October 24, 2025
PubMed
概括

我们开发了一个强化学习框架 (RL4QE) 来增强自然语言查询,以改进DeepSeek代码生成. 这种方法通过使用文本和执行奖励,将代码相似性提高了34.3%.

关键词:
代码生成 代码生成具有参数效率的微调.提示工程是指快速的工程.强化学习是一种强化学习.

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