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@@ -275,7 +275,7 @@ Benchmarks like MMLU-Pro include up to 10 answer choices, whereas most training
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  - Reordering answer choices to create an imbalance that opposes the original model's choice distribution.
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  - Altering labels in 5% of MCQ samples, replacing standard A/B/C/D labels with variations like a/b/c/d, 1/2/3/4, or w/x/y/z.
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  These adjustments resulted in reduced bias toward earlier answer choices, leading to a more balanced selection distribution compared to the original Phi-4. The images below illustrate the distribution of choices selected by the model during MMLU-Pro evaluation.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/645c60dd7d655680b57ddbff/5DYCkLHpdk2jaTsALcwN8.png)
@@ -283,7 +283,7 @@ These adjustments resulted in reduced bias toward earlier answer choices, leadin
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  ### Team
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- - `Ram Mohan Rao Kadiyala`
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  - `Siddartha Pullakhandam`
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  - `Siddhant Gupta`
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  - `Drishti Sharma`
 
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  - Reordering answer choices to create an imbalance that opposes the original model's choice distribution.
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  - Altering labels in 5% of MCQ samples, replacing standard A/B/C/D labels with variations like a/b/c/d, 1/2/3/4, or w/x/y/z.
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+
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  These adjustments resulted in reduced bias toward earlier answer choices, leading to a more balanced selection distribution compared to the original Phi-4. The images below illustrate the distribution of choices selected by the model during MMLU-Pro evaluation.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/645c60dd7d655680b57ddbff/5DYCkLHpdk2jaTsALcwN8.png)
 
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  ### Team
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+ - `[Ram Mohan Rao Kadiyala](https://www.rkadiyala.com/)`
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  - `Siddartha Pullakhandam`
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  - `Siddhant Gupta`
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  - `Drishti Sharma`