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    <title>LVLM Tracker</title>
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    <h1>LVLM Performance Tracker</h1>

    <p>Welcome to the ultimate resource for tracking the performance of Large Vision Language Models (LVLMs) across a
        set of benchmarks, focused on scientific content. The emphasis is on showcasing trends over time. Updated
        regularly by automated script.</p>

    <ul>
        <li><a href="#mmmu1">1. MMMU-val Benchmark</a></li>
        <li><a href="#mmmu2">2. MMMU-Pro Benchmark</a></li>
        <li><a href="#mathvista">3. MathVista Benchmark</a></li>
    </ul>


    <h3 id="mmmu1"><a href="https://mmmu-benchmark.github.io/">1. MMMU-val Benchmark</a></h3>

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        <iframe src="scatter_plot_mmmu_Val.html"></iframe>
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    <h3 id="mmmu2"><a href="https://mmmu-benchmark.github.io/">2. MMMU-Pro Benchmark</a></h3>

    <div class="responsive-iframe-container">
        <iframe src="scatter_plot_mmmu_Pro.html"></iframe>
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    <h3 id="mathvista"><a href="https://mathvista.github.io/">3. MathVista Benchmark</a></h3>
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        <iframe src="scatter_plot_mathvista.html"></iframe>
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