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Updated: Jan 7, 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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以案例为基础的推理与深度学习为法律文本总结的混合方法

Naimoonisa Begum1, Gillala Rekha2

  • 1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation.

Journal of visualized experiments : JoVE
|December 29, 2025
PubMed
概括

本研究介绍了一种混合法律文本总结框架,将基于案例的推理 (CBR) 与变压器模型相结合. 这种新的方法显著提高了法律文件的摘要准确性和一致性.

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