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@@ -41,7 +41,22 @@ ical data modalities via a single GPT model. BioMedGPT aligns different biologic
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  **Intended Use Cases**
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  **Out-of-scope Uses**
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  **Intended Use Cases**
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+ | **Method** | Parameters (B) | Setting | MedMCQA(\%) | PubMedQA(\%) |
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+ |------------------------|----------------|-----------|-------------|--------------|
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+ | Human (pass)* | - | Manual | - | 60.0 |
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+ | Human (expert)* | - | Manual | 90 | 78.0 |
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+ |------------------------|----------------|-----------|-------------|--------------|
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+ | InstructGPT* | 175 | zero-shot | 44.0 | 73.2 |
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+ | ChatGPT* | - | zero-shot | 44.7 | 63.9 |
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+ | Llama* | 7 | zero-shot | 24.3 | 5.2 |
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+ | Llama2 | 7 | zero-shot | 30.6 | 3.7 |
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+ | Llama2-Chat | 7 | zero-shot | 35.5 | 21.9 |
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+ |------------------------|----------------| --------- |-------------|--------------|
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+ | Llama | 7 |Fine-tuing | 48.2 | 73.4 |
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+ | Llama2-Chat | 7 |Fine-tuing | 48.3 | 75.5 |
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+ | PMC-Llama | 7 |Fine-tuing | 50.5 | 69.5 |
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+ |------------------------|----------------|-----------|-------------|--------------|
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+ | BioMed-Llama2 | 7 |Fine-tuing | **51.4** | **76.1** |
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  **Out-of-scope Uses**
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