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@@ -31,6 +31,17 @@ Instead of focusing solely on the final answer, Med-REFL improves the model's in
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  This repository contains the LoRA weights produced by the Med-REFL framework for various base models.
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  # <span>Available Weights</span>
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  The Med-REFL LoRA weights can be applied to the following base models to enhance their medical reasoning abilities.
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  This repository contains the LoRA weights produced by the Med-REFL framework for various base models.
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+ # <span>MedReason-8B Model Performance</span>
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+ The following table shows the performance of the MedReason-8B model on In-Domain and Out-of-Domain benchmarks before and after applying Med-REFL.
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+ | Domain | Benchmark | Original | **+ Med-REFL** |
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+ | :--- | :--- | :--- | :--- |
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+ | **In-Domain** | MedQA-USMLE | 66.27 | **70.16** <span style="color: #2E8B57; font-size: small;">(+3.89)</span> |
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+ | **Out-of-Domain**| MedMCQA | 58.98 | **59.78** <span style="color: #2E8B57; font-size: small;">(+0.80)</span> |
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+ | **Out-of-Domain**| GPQA (Med+) | 45.64 | **49.84** <span style="color: #2E8B57; font-size: small;">(+4.20)</span> |
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+ | **Out-of-Domain**| MMLU-Pro (Med+) | 59.14 | **62.51** <span style="color: #2E8B57; font-size: small;">(+3.37)</span> |
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  # <span>Available Weights</span>
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  The Med-REFL LoRA weights can be applied to the following base models to enhance their medical reasoning abilities.
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