2). TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction. NeurIPS, LMRL workshop.&lt;/a&gt;</td>
    </tr>
    <tr>
      <th>12</th>
      <td>Progen2 S</td>
      <td>Protein language model</td>
      <td>0.424</td>
      <td>0.035</td>
      <td>0.505</td>
      <td>NaN</td>
      <td>0.363</td>
      <td>0.387</td>
      <td>0.441</td>
      <td>0.242</td>
      <td>0.383</td>
      <td>0.507</td>
      <td>0.493</td>
      <td>0.463</td>