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<h1 class="title is-1 publication-title">CarBoN: Calibrated Best-of-N Sampling<br>Improves Test-time Reasoning</h1>
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<div class="is-size-5 publication-authors">
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Yung-Chen Tang
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Pin-Yu Chen
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Andrea Cavallaro
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<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
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<pre><code
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<h1 class="title is-1 publication-title">CarBoN: Calibrated Best-of-N Sampling<br>Improves Test-time Reasoning</h1>
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<div class="is-size-5 publication-authors">
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<a href="https://sites.google.com/view/yungchentang" target="_blank" rel="noopener noreferrer">Yung-Chen Tang</a><sup>1,2</sup>,
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<a href="https://sites.google.com/site/pinyuchenpage/home" target="_blank" rel="noopener noreferrer">Pin-Yu Chen</a><sup>3</sup>,
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<a href="https://people.epfl.ch/andrea.cavallaro?lang=en" target="_blank" rel="noopener noreferrer">Andrea Cavallaro</a><sup>1,2</sup>
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<a href="https://arxiv.org/abs/2510.15674" target="_blank" rel="noopener noreferrer"
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class="external-link button is-normal is-rounded is-dark">
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<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
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<pre><code>@misc{tang2025carboncalibratedbestofnsampling,
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title={CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning},
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author={Yung-Chen Tang and Pin-Yu Chen and Andrea Cavallaro},
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year={2025},
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eprint={2510.15674},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2510.15674},
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}
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</code></pre>
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