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@@ -114,6 +114,17 @@ outputs = pipeline(
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  print(outputs[0]["generated_text"][-1]['content'])
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  ````
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  ## Citation
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  If you find the data useful, please cite:
 
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  print(outputs[0]["generated_text"][-1]['content'])
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  ````
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+ To use the model with GenSelect inference, we recommend following our
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+ [reference implementation in NeMo-Skills](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/pipeline/genselect.py).
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+ Alternatively, you can manually extract the summary from all solutions and use this
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+ [prompt](https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/openmath/genselect.yaml) for the math problems.
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+ We will add the prompt we used for the coding problems and a reference implementation soon!
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+
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+ You can learn more about GenSelect in these papers:
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+ * [AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset](https://arxiv.org/abs/2504.16891)
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+ * [GenSelect: A Generative Approach to Best-of-N](https://openreview.net/forum?id=8LhnmNmUDb)
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+
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+
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  ## Citation
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  If you find the data useful, please cite: