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      <title>OptOne: Redefining Intelligence in Real-World Mathematical Problems</title>
      <link>https://modeling.pages.dev/blog/</link>
      <pubDate>Wed, 31 Dec 2025 10:00:00 +0800</pubDate>
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      <description>&lt;figure&gt;
    &lt;img loading=&#34;lazy&#34; src=&#34;https://modeling.pages.dev/img/performance.png#center&#34;
         alt=&#34;The overview performance of OptOne&#34; width=&#34;100%&#34;/&gt; &lt;figcaption&gt;
            &lt;p&gt;The overview performance of OptOne&lt;/p&gt;
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&lt;p&gt;&lt;em&gt;From Passive Reasoning to Active Evolution&amp;mdash;The Agentic System for Real-World Mathematical Problems.&lt;/em&gt;&lt;/p&gt;
&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Operations Research (OR) is a critical part that powers efficient decision-making across modern industry and the global economy. It provides the mathematical and analytical framework behind essential activities like coordinating global supply chains, maintaining stable energy networks, and refining financial investment strategies, delivering data-driven insights for high-impact business and operational choices. Yet the field has long faced a major barrier: real-world business challenges are described in unstructured, everyday language, while optimization tools require precise, error-free mathematical code to generate valid solutions. For decades, we relied on highly specialized experts to translate vague business requirements into rigorous mathematical equations, which is a slow, costly process.&lt;/p&gt;</description>
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      <title>Publications</title>
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      <pubDate>Wed, 31 Dec 2025 10:00:00 +0800</pubDate>
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 &lt;!-- 论文 1 --&gt; &lt;a href=&#34;https://modeling.pages.dev/pdf/OptiTree.pdf&#34; target=&#34;_blank&#34; style=&#34;text-decoration: none; color: inherit;&#34;&gt;   &lt;div style=&#34;padding: 20px; border: 1px solid rgba(255,255,255,0.3); border-radius: 10px; background: rgba(255,255,255,0.1); backdrop-filter: blur(5px); transition: transform 0.2s;&#34; onmouseover=&#34;this.style.transform=&#39;scale(1.02)&#39;&#34; onmouseout=&#34;this.style.transform=&#39;scale(1)&#39;&#34;&gt;     &lt;h4 style=&#34;margin-top: 0;&#34;&gt;OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling&lt;/h4&gt;     &lt;p style=&#34;margin-bottom: 0; opacity: 0.8;&#34;&gt;NeurIPS 2025&lt;/p&gt;     &lt;span style=&#34;display: inline-block; margin-top: 10px; font-size: 0.8em; border: 1px solid white; padding: 2px 8px; border-radius: 4px;&#34;&gt;PDF&lt;/span&gt;   &lt;/div&gt; &lt;/a&gt;

  &lt;!-- 论文 2 --&gt; &lt;a href=&#34;https://modeling.pages.dev/pdf/OptMiner.pdf&#34; target=&#34;_blank&#34; style=&#34;text-decoration: none; color: inherit;&#34;&gt;   &lt;div style=&#34;padding: 20px; border: 1px solid rgba(255,255,255,0.3); border-radius: 10px; background: rgba(255,255,255,0.1); backdrop-filter: blur(5px); transition: transform 0.2s;&#34; onmouseover=&#34;this.style.transform=&#39;scale(1.02)&#39;&#34; onmouseout=&#34;this.style.transform=&#39;scale(1)&#39;&#34;&gt;     &lt;h4 style=&#34;margin-top: 0;&#34;&gt;Opt-Miner: Empowering Information-Seeking Agent with Tree-Guided Data Synthesis for Optimization Modeling&lt;/h4&gt;     &lt;p style=&#34;margin-bottom: 0; opacity: 0.8;&#34;&gt;ICML 2026, Under Review&lt;/p&gt;</description>
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