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@@ -27,7 +27,7 @@ For a deeper look into the implementation details, refer to the our repository:
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  We used the [EvalScope](https://github.com/modelscope/evalscope) to evaluate models and report Pass@1 accuracy across all benchmarks. The number of responses generated per problem is as follows:
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  - 64 responses: `AMC23, AIME24, AIME25, Vietnamese-Entrance-Math-Exam`
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- - 8 responses: `Minerva-Math, Math-Gakao-2023-English`
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  - 4 responses: `Math500, Olympiad-Bench`
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  - 1 responses: `IFEval`
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  We used the [EvalScope](https://github.com/modelscope/evalscope) to evaluate models and report Pass@1 accuracy across all benchmarks. The number of responses generated per problem is as follows:
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  - 64 responses: `AMC23, AIME24, AIME25, Vietnamese-Entrance-Math-Exam`
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+ - 8 responses: `Minerva-Math, Math-Gaokao-2023-English`
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  - 4 responses: `Math500, Olympiad-Bench`
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  - 1 responses: `IFEval`
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