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@@ -99,11 +99,11 @@ This project is led and maintained by the team of <a href="https://ylab.top/">Pr
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<li><strong>Multilingual Context</strong>: 9 languages: English, Chinese, Spanish, Japanese, German, Russian, French, Norwegian, and Portuguese</li>
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<li><strong>Diverse Task Types</strong>: 8 task types: Text classification, Semantic similarity, Normalization and coding, Named entity recognition, Natural language inference, Event extraction, Question answering, and Text summarization</li>
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<li><strong>Broad Clinical Applications</strong>: 14 Clinical specialties, 7 Clinical document types, 20 Clinical applications covering 6 clinical stages of patient care</li>
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<li><strong>Advanced LLMs (
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<ul>
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<li><strong>Proprietary models</strong>: GPT-4o, GPT-3.5, Gemini-2.0-Flash, Gemini-1.5-Pro ...</li>
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<li><strong>Open-source models</strong>: Qwen 3/2.5, Llama 3/4, Mistral, Gemma ...</li>
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<li><strong>Medical models</strong>: medgemma, Baichuan-M1-14B, meditron, MeLLaMA... </li>
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<li><strong>Reasoning models</strong>: Deepseek-R1(671B), QWQ-32B, Deepseek-R1-Distll-Qwen/Llama ...</li>
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</ul>
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</li>
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<li><strong>Multilingual Context</strong>: 9 languages: English, Chinese, Spanish, Japanese, German, Russian, French, Norwegian, and Portuguese</li>
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<li><strong>Diverse Task Types</strong>: 8 task types: Text classification, Semantic similarity, Normalization and coding, Named entity recognition, Natural language inference, Event extraction, Question answering, and Text summarization</li>
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<li><strong>Broad Clinical Applications</strong>: 14 Clinical specialties, 7 Clinical document types, 20 Clinical applications covering 6 clinical stages of patient care</li>
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<li><strong>Advanced LLMs (94 models)</strong>:
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<ul>
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<li><strong>Proprietary models</strong>: GPT-4o, GPT-3.5, Gemini-2.5-Flash, Gemini-2.0-Flash, Gemini-1.5-Pro ...</li>
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<li><strong>Open-source models</strong>: GPT-oss, Qwen 3/2.5, Llama 3/4, Mistral, Gemma ...</li>
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<li><strong>Medical models</strong>: medgemma, Baichuan-M2-32B, Baichuan-M1-14B, meditron, MeLLaMA... </li>
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<li><strong>Reasoning models</strong>: Deepseek-R1(671B), QWQ-32B, Deepseek-R1-Distll-Qwen/Llama ...</li>
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</ul>
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</li>
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