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@@ -29,7 +29,7 @@ Fairness-aware LoRA adapters for medical vision–language models, from the
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  - **Paper**: [arxiv.org/abs/2603.26008](https://arxiv.org/abs/2603.26008)
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  FairLLaVA minimizes the mutual information between the model's visual
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- features and patient demographic attributes (age, sex, race / skin type),
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  producing demographic-invariant representations while preserving clinical
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  accuracy. The adapters here plug into a standard LoRA fine-tuning loop and
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  are released on three medical benchmarks.
 
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  - **Paper**: [arxiv.org/abs/2603.26008](https://arxiv.org/abs/2603.26008)
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  FairLLaVA minimizes the mutual information between the model's visual
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+ features and patient demographic attributes (age, sex, race),
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  producing demographic-invariant representations while preserving clinical
34
  accuracy. The adapters here plug into a standard LoRA fine-tuning loop and
35
  are released on three medical benchmarks.