resource · 2025
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
arXiv
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework is a resource in the TCM LLM catalog (Awesome-TCM-LLM), dated 2025. It is maintained alongside the GitHub list of Traditional Chinese Medicine large language models.
From four foundational passages of Huangdi Neijing, prompt scaffolding guided DeepSeek V3.1 to convey metaphor and metonymy; ChatGPT 5 Pro and Gemini 2.5 Pro then simulated three reader types and scored human, baseline, and prompt-adjusted translations on five cognitive dimensions, with the prompt-adjusted translations best on all five.