| 1 |
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models |
提出Setwise方法以提高零-shot文档排名的效率与效果 |
large language model |
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| 2 |
Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy |
通过生成式AI提升二进制代码注释质量分类模型的准确性 |
large language model |
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| 3 |
Penetrative AI: Making LLMs Comprehend the Physical World |
提出穿透式人工智能以增强大语言模型对物理世界的理解能力 |
large language model |
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| 4 |
Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs |
利用生成式AI提升软件元数据分类的有效性 |
large language model |
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| 5 |
A study of the impact of generative AI-based data augmentation on software metadata classification |
提出基于生成式AI的数据增强方法以提升软件元数据分类效果 |
large language model |
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| 6 |
Software Metadata Classification based on Generative Artificial Intelligence |
基于生成式人工智能的二进制代码注释质量分类方法 |
large language model |
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