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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 **82% 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
@@ -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: 82.30%
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- - Nurse: 90.43%
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- - Pharm: 86.21%
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- - Dentist: 73.86%
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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.
@@ -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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-
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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.
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 = [