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-  <h1>JevBench</h1>
-  <p class="lead">Metamorphic coherence testing for typed probabilistic decision models.</p>
-  <p>Typed decision models answer questions about a text with probability distributions over declared answers: yes or
-  no, one of several options, or a level on an ordered scale. JevBench tests whether those probabilities stay coherent
-  when a question is reworded, negated, logically combined with others, offered a different set of options, or asked
-  together with other questions: 50 metamorphic relations in five dimensions, no gold labels needed, every test frozen
-  in advance.</p>
-  <table>
-    <tr><td>📄 Technical report</td><td><a href="https://www.alphaxiv.org/abs/2610.jevbench-metamorphic-coherence-testing" target="_blank">alphaXiv</a></td></tr>
-    <tr><td>🗂️ Dataset</td><td><a href="https://huggingface.co/datasets/JevBench/jevbench" target="_blank">JevBench/jevbench</a>: 240 cases, 2,240 questions, frozen test suites and every evaluation report</td></tr>
-    <tr><td>🏆 Leaderboard</td><td><a href="https://jevbench.github.io" target="_blank">jevbench.github.io</a>: 21 openly released models</td></tr>
-    <tr><td>💻 Code</td><td><a href="https://github.com/JevBench/jevbench" target="_blank">github.com/JevBench/jevbench</a> · <code>pip install jevbench</code></td></tr>
-  </table>
-  <p class="small">Maintained by <a href="https://mrchenfeng.github.io/" target="_blank">Chen Feng</a>,
-  <a href="https://qub-ml.github.io/" target="_blank">ML Lab</a>, Queen's University Belfast.</p>
-</div>
+<p><b>JevBench: metamorphic coherence testing for typed probabilistic decision models.</b></p>
+<p>Typed decision models answer questions about a text with probability distributions over declared answers: yes or
+no, one of several options, or a level on an ordered scale. JevBench tests whether those probabilities stay coherent
+when a question is reworded, negated, logically combined with others, offered a different set of options, or asked
+together with other questions: <b>50 metamorphic relations in five dimensions</b>, no gold labels needed, every test
+frozen in advance. Across 21 openly released models, batch independence mostly holds, while additivity fails
+broadly, above all under negation.</p>
+<ul>
+  <li>📄 <b>Technical report</b>: <a href="https://www.alphaxiv.org/abs/2610.jevbench-metamorphic-coherence-testing" target="_blank">alphaXiv</a></li>
+  <li>🗂️ <b>Dataset</b>: <a href="https://huggingface.co/datasets/JevBench/jevbench" target="_blank">JevBench/jevbench</a>, 240 cases, 2,240 questions, frozen test suites and every evaluation report</li>
+  <li>🏆 <b>Leaderboard</b>: <a href="https://jevbench.github.io" target="_blank">jevbench.github.io</a></li>
+  <li>💻 <b>Code</b>: <a href="https://github.com/JevBench/jevbench" target="_blank">github.com/JevBench/jevbench</a>, <code>pip install jevbench</code></li>
+</ul>
+<p>Maintained by <a href="https://mrchenfeng.github.io/" target="_blank">Chen Feng</a>,
+<a href="https://qub-ml.github.io/" target="_blank">ML Lab</a>, Queen's University Belfast.</p>
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