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  <meta name="description" content="GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.">
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  <title>GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning</title>

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            GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
          </h1>

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              <a href="https://openreview.net/profile?id=~Jian_Zhao12">Jian Zhao</a><sup>1,3*</sup>,
            </span>
            <span class="author-block">
              <a href="https://ryanliu112.github.io">Runze Liu</a><sup>1,2*</sup>,
            </span>
            <span class="author-block">
              <a href="https://iseesaw.github.io">Kaiyan Zhang</a><sup>1</sup>,
            </span>
            <span class="author-block">
              <a href="https://openreview.net/profile?id=~Zhimu_Zhou2">Zhimu Zhou</a><sup>3</sup>,
            </span>
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              <a href="https://scholar.google.com/citations?user=mWpsZ1wAAAAJ">Junqi Gao</a><sup>4</sup>,
            </span>
            <span class="author-block">
              <a href="https://scholar.google.com.hk/citations?user=sSOt_McAAAAJ">Dong Li</a><sup>4</sup>,
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            <span class="author-block">
              <a href="https://dmksjfl.github.io">Jiafei Lyu</a><sup>1</sup>,
            </span>
            <span class="author-block">
              <a href="https://github.com/qianzhouyi2">Zhouyi Qian</a><sup>4</sup>,
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            <span class="author-block">
              <a href="https://biqing-qi.github.io">Biqing Qi</a><sup>2†</sup>,
            </span>
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              <a href="https://www.sigs.tsinghua.edu.cn/lx/main.htm">Xiu Li</a><sup>1†</sup>,
            </span>
            <span class="author-block">
              <a href="http://c3i.ee.tsinghua.edu.cn">Bowen Zhou</a><sup>1,2†</sup>
            </span>
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          <div class="is-size-5 publication-authors" style="margin-top: 0.3em;">
            <div class="author-block"><sup>1</sup>Tsinghua University, </div>
            <div class="author-block"><sup>2</sup>Shanghai AI Laboratory, </div>
            <div class="author-block"><sup>3</sup>BUPT, </div>
            <div class="author-block"><sup>4</sup>Harbin Institute of Technology</div>
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            <div>*Equal contribution, †Corresponding author</div>
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                  <span>Awesome Process Reward Models</span>
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<section class="hero teaser">
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      <img src="./static/images/comparison.png" alt="" style="max-width: 100%; height: auto;" id="comparison">
      <h2 class="subtitle has-text-centered">
        <strong>Figure 1</strong>: Comparison between GenPRM (right) and previous classification-based PRMs (left).
      </h2>
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</section>


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      <img src="./static/images/framework2.png" alt="" style="max-width: 100%; height: auto;" id="framework">
      <h2 class="subtitle has-text-centered">
        <strong>Figure 2</strong>: Overall framework of GenPRM.
      </h2>
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      <h2 class="title is-3">Results</h2>
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      <img src="./static/images/main_processbench.png" alt="" style="width: 100%; max-width: 1000px; margin-top: 20px; margin-bottom: 10px;" id="main_processbench">

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<section class="section" id="BibTeX">
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      <h2 class="title">BibTeX</h2>
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    <pre><code>@article{zhao2025genprm,
    title   = {GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning},
    author  = {Jian Zhao and Runze Liu and Kaiyan Zhang and Zhimu Zhou and Junqi Gao and Dong Li and Jiafei Lyu and Zhouyi Qian and Biqing Qi and Xiu Li and Bowen Zhou},
    journal = {arXiv preprint arXiv:2504.00891},
    year    = {2025}
}</code></pre>
    Our collection of PRMs in <a href="https://github.com/RyanLiu112/Awesome-Process-Reward-Models">Awesome-Process-Reward-Models</a>:

    <pre><code>@misc{Awesome-Process-Reward-Models,
    title        = {Awesome Process Reward Models},
    author       = {Runze Liu and Jian Zhao and Kaiyan Zhang and Zhimu Zhou and Junqi Gao and Dong Li and Jiafei Lyu and Zhouyi Qian and Biqing Qi and Xiu Li and Bowen Zhou},
    howpublished = {\url{https://github.com/RyanLiu112/Awesome-Process-Reward-Models}},
    note         = {GitHub repository},
    year         = {2025}
}</code></pre>
    Our recent work on LLM test-time scaling with PRMs:

    <pre><code>@article{liu2025can,
    title   = {Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling},
    author  = {Runze Liu and Junqi Gao and Jian Zhao and Kaiyan Zhang and Xiu Li and Biqing Qi and Wanli Ouyang and Bowen Zhou},
    journal = {arXiv preprint arXiv:2502.06703},
    year    = {2025}
}</code></pre>
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