Update README.md
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README.md
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@@ -29,7 +29,7 @@ This model is **fine-tuned on Korean medical question–answering (QA) style dat
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* **Fine-tuning Objective**: Medical QA (Question–Answer) style generation
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* **Primary Language**: English, Korean
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* **Domain**: Clinical Medicine
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* **Performance**: Achieves **
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* **Key Applications**:
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* Clinical decision support (QA-style)
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* Medical education and self-assessment tools
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@@ -48,10 +48,10 @@ This model was fine-tuned using a curated corpus of Korean medical QA-style data
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* **Benchmark Evaluation**:
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- **KMLE-style QA benchmark(KorMedMCQA)**
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- Doctor:
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- Nurse: 90.
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- Pharm:
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- Dentist:
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- All evaluations were conducted on de-identified, non-clinical test sets, with no real patient data involved.
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> ⚠️ These benchmarks are provided for research purposes only and do not imply clinical safety or efficacy.
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@@ -144,8 +144,6 @@ prompt = '''
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60세 남성이 복통과 발열을 호소하며 내원하였습니다.
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혈액 검사 결과 백혈구 수치가 상승했고, 우측 하복부 압통이 확인되었습니다.
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가장 가능성이 높은 진단명은 무엇인가요?
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### Reasoning:
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'''.strip()
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messages = [
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* **Fine-tuning Objective**: Medical QA (Question–Answer) style generation
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* **Primary Language**: English, Korean
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* **Domain**: Clinical Medicine
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* **Performance**: Achieves **84.6% accuracy** on the **Korean Medical Licensing Examination (KMLE)**
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* **Key Applications**:
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* Clinical decision support (QA-style)
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* Medical education and self-assessment tools
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* **Benchmark Evaluation**:
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- **KMLE-style QA benchmark(KorMedMCQA)**
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- Doctor: 84.60%
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- Nurse: 90.66%
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- Pharm: 87.01%
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- Dentist: 74.85%
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- All evaluations were conducted on de-identified, non-clinical test sets, with no real patient data involved.
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> ⚠️ These benchmarks are provided for research purposes only and do not imply clinical safety or efficacy.
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60세 남성이 복통과 발열을 호소하며 내원하였습니다.
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145 |
혈액 검사 결과 백혈구 수치가 상승했고, 우측 하복부 압통이 확인되었습니다.
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가장 가능성이 높은 진단명은 무엇인가요?
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'''.strip()
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messages = [
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