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<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <title>Spreadsheet-RL</title>
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  </style>
</head>
<body>
  <main class="card">
    <section class="hero">
      <p class="eyebrow">UIUC &amp; Meta Research</p>
      <h1>Spreadsheet-RL</h1>
      <p class="subtitle">Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning.</p>
      <nav class="links" aria-label="Spreadsheet-RL links">
        <a href="https://spreadsheet-rl.github.io/" target="_blank" rel="noreferrer">Project page</a>
        <a href="https://arxiv.org/abs/2605.22642" target="_blank" rel="noreferrer">Paper</a>
        <a href="https://github.com/Spreadsheet-RL/Spreadsheet-RL" target="_blank" rel="noreferrer">Code</a>
        <a href="https://huggingface.co/datasets/Spreadsheet-RL/Spreadsheet-RL" target="_blank" rel="noreferrer">Dataset</a>
        <a href="https://huggingface.co/papers/2605.22642" target="_blank" rel="noreferrer">HF Daily</a>
      </nav>
    </section>

    <section class="body">
      <article class="section">
        <h2>What We Release</h2>
        <ul>
          <li><strong>Spreadsheet Data Agent</strong> &mdash; scalable construction of paired initial and oracle final workbooks.</li>
          <li><strong>Spreadsheet Gym</strong> &mdash; multi-turn Excel interaction with spreadsheet-native tools and sandboxed code execution.</li>
          <li><strong>Verifier &amp; Reward API</strong> &mdash; Excel recalculation and outcome comparison for RL training.</li>
          <li><strong>Domain-Spreadsheet</strong> &mdash; finance, supply chain, HR, sales, and real estate evaluation tasks.</li>
        </ul>
        <p class="note">Data and code releases are maintained by the corresponding authors at UIUC and are not affiliated with Meta.</p>
      </article>

      <aside class="metrics" aria-label="Key results">
        <div class="metric">
          <strong>5,928</strong>
          <span>filtered ExcelForum training tasks</span>
        </div>
        <div class="metric">
          <strong>23.4%</strong>
          <span>SpreadsheetBench Pass@1 after RL</span>
        </div>
        <div class="metric">
          <strong>1,660</strong>
          <span>Domain-Spreadsheet evaluation rollouts</span>
        </div>
        <div class="metric">
          <strong>17.2%</strong>
          <span>Domain-Spreadsheet Pass@1 after RL</span>
        </div>
      </aside>
    </section>
  </main>
</body>
</html>