Improving Translational Accuracy
Masking and Demasking Agents
Initiation of Translation
Termination of Translation
Leaky Scanning
Multi-input and Multi-variable systems
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
1College of International Studies, National University of Defense Technology, Nanjing, 210000, China. limingyaya@qq.com.
This study introduces a novel domain classification system and multi-agent approach to significantly improve domain-specific machine translation quality for large language models (LLMs). The method enhances LLM translation accuracy across various specialized fields.
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