首页|Optimized Machine Translation of Technical Acronyms Using Large Language Models: A Workflow-based Approach
Optimized Machine Translation of Technical Acronyms Using Large Language Models: A Workflow-based Approach
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Machine translation systems often struggle with the accurate interpretation of technical acronyms, particularly in domain-specific contexts where the same acro nym may have multiple meanings. “A novel workflow was developed to enhance acronym detection and translation acc uracy by modifying the LLaMA model through targeted fine-tuning and hierarchical attention mechanisms.
NETL
NSTL
