diff --git a/index.html b/index.html
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+++ b/index.html
@@ -397,690 +397,6 @@ <h2 class="title is-3">Introduction</h2>
     </div>
   </section>
 
-  <!-- <section class="section">
-  <div class="container">
-    
-    <div class="columns is-centered">
-      <div class="column is-full has-text-centered content">
-        <h2 class="title is-3" id="leaderboard">Leaderboard on testmini</h2>
-        <div class="content">
-          <p class="mt-3">Accuracy scores on the <b>testmini</b> subset (1,000 examples) of <img src="static/images/mathvista.png" style="width:1.0em;vertical-align: middle" alt="Logo"/>
-            <span class="mathvista">MathVista</span>.
-          </p>
-
-          <div id="testmini_leaderboard"></div> -->
-
-  <!-- <table class="js-sort-table" id="results">
-              <tr>
-                  <td class="js-sort-number"><strong>#</strong></td>
-                  <td class="js-sort-number"><strong>Model</strong></td>
-                  <td class="js-sort-number"><strong>Method</strong></td>
-                  <td class="js-sort-number"><strong>Source</strong></td>
-                  <td class="js-sort-number"><strong>Date</strong></td>
-                  <td class="js-sort-number"><strong><u>ALL</u></strong></td>
-                  <td class="js-sort-number"><strong>FQA</strong></td>
-                  <td class="js-sort-number"><strong>GPS</strong></td>
-                  <td class="js-sort-number"><strong>MWP</strong></td>
-                  <td class="js-sort-number"><strong>TQA</strong></td>
-                  <td class="js-sort-number"><strong>VQA</strong></td>
-                  <td class="js-sort-number"><strong>ALG</strong></td>
-                  <td class="js-sort-number"><strong>ARI</strong></td>
-                  <td class="js-sort-number"><strong>GEO</strong></td>
-                  <td class="js-sort-number"><strong>LOG</strong></td>
-                  <td class="js-sort-number"><strong>NUM</strong></td>
-                  <td class="js-sort-number"><strong>SCI</strong></td>
-                  <td class="js-sort-number"><strong>STA</strong></td>
-              </tr>
-              <tr>
-                <td>-</td>
-                <td><b>Human Performance*</b></td>
-                <td>-</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>60.3</b></td>
-                <td>59.7</td>
-                <td>48.4</td>
-                <td>73.0</td>
-                <td>63.2</td>
-                <td>55.9</td>
-                <td>50.9</td>
-                <td>59.2</td>
-                <td>51.4</td>
-                <td>40.7</td>
-                <td>53.8</td>
-                <td>64.9</td>
-                <td>63.9</td>                
-              </tr>
-              <tr>
-                <td>1</td>
-                <td><b class="best-score-text" style="color: #C6011F">Gemini Ultra🥇</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-12-06</td>
-                <td><b class="best-score-text" style="color: #C6011F">53.0</b></td>
-                <td>49.1</td>
-                <td>56.3</td>
-                <td>53.8</td>
-                <td>69.0</td>
-                <td>40.2</td>
-                <td>58.4</td>
-                <td>45.9</td>
-                <td>55.7</td>
-                <td>21.6</td>
-                <td>38.9</td>
-                <td>62.3</td>
-                <td>59.5</td>                      
-              </tr>
-              <tr>
-                <td>2</td>
-                <td><b class="best-score-text" style="color: #C6011F">GPT-4V (Playground)🥈</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-15</td>
-                <td><b class="best-score-text" style="color: #C6011F">49.9</b></td>
-                <td>43.1</td>
-                <td>50.5</td>
-                <td>57.5</td>
-                <td>65.2</td>
-                <td>38.0</td>
-                <td>53.0</td>
-                <td>49.0</td>
-                <td>51.0</td>
-                <td>21.6</td>
-                <td>20.1</td>
-                <td>63.1</td>
-                <td>55.8</td>                      
-              </tr>
-              <tr>
-                <td>3</td>
-                <td><b class="best-score-text" style="color: #C6011F">Gemini Pro 🥉</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-12-06</td>
-                <td><b class="best-score-text" style="color: #C6011F">45.2</b></td>
-                <td>47.6</td>
-                <td>40.4</td>
-                <td>39.3</td>
-                <td>61.4</td>
-                <td>39.1</td>
-                <td>45.2</td>
-                <td>38.8</td>
-                <td>41.0</td>
-                <td>10.8</td>
-                <td>32.6</td>
-                <td>54.9</td>
-                <td>56.8</td>                      
-              </tr>
-              <tr>
-                <td>4</td>
-                <td><b>Qwen-VL-Plus</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://github.com/QwenLM/Qwen-VL" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-12-21</td>
-                <td><b>43.3</b></td>
-                <td>54.7</td>
-                <td>38.5</td>
-                <td>31.2</td>
-                <td>55.1</td>
-                <td>34.1</td>
-                <td>39.2</td>
-                <td>32.0</td>
-                <td>39.3</td>
-                <td>18.9</td>
-                <td>26.4</td>
-                <td>59.0</td>
-                <td>56.2</td>                             
-              </tr>
-              <tr>
-                <td>5</td>
-                <td><b>SPHINX (V2)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://github.com/Alpha-VLLM/LLaMA2-Accessory/tree/main/SPHINX" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-11-17</td>
-                <td><b>36.7</b></td>
-                <td>54.7</td>
-                <td>16.4</td>
-                <td>23.1</td>
-                <td>41.8</td>
-                <td>43.0</td>
-                <td>20.6</td>
-                <td>33.4</td>
-                <td>17.6</td>
-                <td>24.3</td>
-                <td>21.5</td>
-                <td>43.4</td>
-                <td>51.5</td>                             
-              </tr>
-              <tr>
-                <td>6</td>
-                <td><b>Multimodal Bard</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>34.8</b></td>
-                <td>26.0</td>
-                <td>47.1</td>
-                <td>29.6</td>
-                <td>48.7</td>
-                <td>26.8</td>
-                <td>46.5</td>
-                <td>28.6</td>
-                <td>47.8</td>
-                <td>13.5</td>
-                <td>14.9</td>
-                <td>47.5</td>
-                <td>33.0</td>                
-              </tr>
-              <tr>
-                <td>7</td>
-                <td><b>PoT GPT-4 (Caption+OCR) </b></td>
-                <td>Tool 🛠️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>33.9</b></td>
-                <td>30.1</td>
-                <td>39.4</td>
-                <td>30.6</td>
-                <td>39.9</td>
-                <td>31.3</td>
-                <td>37.4</td>
-                <td>31.7</td>
-                <td>41.0</td>
-                <td>18.9</td>
-                <td>20.1</td>
-                <td>44.3</td>
-                <td>37.9</td>                               
-              </tr>
-              <tr>
-                <td>8</td>
-                <td><b>CoT GPT-4 (Caption+OCR) </b></td>
-                <td>Tool 🛠️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>33.2</b></td>
-                <td>27.9</td>
-                <td>31.7</td>
-                <td>31.2</td>
-                <td>51.9</td>
-                <td>28.5</td>
-                <td>33.5</td>
-                <td>30.9</td>
-                <td>32.2</td>
-                <td>13.5</td>
-                <td>12.5</td>
-                <td>58.2</td>
-                <td>37.9</td>                               
-              </tr>
-              <tr>
-                <td>9</td>
-                <td><b>CoT ChatGPT (Caption+OCR)</b></td>
-                <td>Tool 🛠️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>33.2</b></td>
-                <td>27.5</td>
-                <td>29.3</td>
-                <td>36.0</td>
-                <td>49.4</td>
-                <td>29.1</td>
-                <td>31.0</td>
-                <td>32.9</td>
-                <td>31.0</td>
-                <td>16.2</td>
-                <td>17.4</td>
-                <td>50.8</td>
-                <td>37.2</td>                               
-              </tr>
-              <tr>
-                <td>10</td>
-                <td><b>CoT Claude-2 (Caption+OCR)</b></td>
-                <td>Tool 🛠️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>33.2</b></td>
-                <td>26.0</td>
-                <td>31.7</td>
-                <td>35.5</td>
-                <td>48.1</td>
-                <td>30.2</td>
-                <td>32.4</td>
-                <td>32.3</td>
-                <td>33.0</td>
-                <td>16.2</td>
-                <td>17.4</td>
-                <td>54.9</td>
-                <td>36.2</td>                             
-              </tr>
-              <tr>
-                <td>11</td>
-                <td><b>Gemini Nano 2</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-12-06</td>
-                <td><b>30.6</b></td>
-                <td>28.6</td>
-                <td>23.6</td>
-                <td>30.7</td>
-                <td>41.8</td>
-                <td>31.8</td>
-                <td>27.1</td>
-                <td>29.8</td>
-                <td>26.8</td>
-                <td>10.8</td>
-                <td>20.8</td>
-                <td>40.2</td>
-                <td>33.6</td>                      
-              </tr>
-              <tr>
-                <td>12</td>
-                <td><b>SPHINX (V1)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://github.com/Alpha-VLLM/LLaMA2-Accessory/blob/main/SPHINX/SPHINX_paper.pdf" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-11-09</td>
-                <td><b>27.5</b></td>
-                <td>23.4</td>
-                <td>23.1</td>
-                <td>21.5</td>
-                <td>39.9</td>
-                <td>34.1</td>
-                <td>25.6</td>
-                <td>28.1</td>
-                <td>23.4</td>
-                <td>16.2</td>
-                <td>17.4</td>
-                <td>40.2</td>
-                <td>23.6</td>                             
-              </tr>
-              <tr>
-                <td>13</td>
-                <td><b>Gemini Nano 1</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-12-06</td>
-                <td><b>27.3</b></td>
-                <td>30.9</td>
-                <td>21.6</td>
-                <td>23.7</td>
-                <td>29.1</td>
-                <td>30.7</td>
-                <td>23.8</td>
-                <td>25.5</td>
-                <td>21.3</td>
-                <td>13.5</td>
-                <td>20.8</td>
-                <td>27.9</td>
-                <td>30.9</td>                      
-              </tr>
-              <tr>
-                <td>14</td>
-                <td><b>PoT ChatGPT (Caption+OCR)</b></td>
-                <td>Tool 🛠️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>26.8</b></td>
-                <td>24.5</td>
-                <td>26.4</td>
-                <td>23.7</td>
-                <td>33.5</td>
-                <td>27.9</td>
-                <td>27.8</td>
-                <td>26.1</td>
-                <td>28.0</td>
-                <td>18.9</td>
-                <td>13.2</td>
-                <td>33.6</td>
-                <td>29.9</td>                              
-              </tr>
-              <tr>
-                <td>15</td>
-                <td><b>LLaVA (LLaMA-2-13B)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>26.1</b></td>
-                <td>26.8</td>
-                <td>29.3</td>
-                <td>16.1</td>
-                <td>32.3</td>
-                <td>26.3</td>
-                <td>27.3</td>
-                <td>20.1</td>
-                <td>28.8</td>
-                <td>24.3</td>
-                <td>18.3</td>
-                <td>37.3</td>
-                <td>25.1</td>                               
-              </tr>
-              <tr>
-                <td>16</td>
-                <td><b>InstructBLIP (Vicuna-7B)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>25.3</b></td>
-                <td>23.1</td>
-                <td>20.7</td>
-                <td>18.3</td>
-                <td>32.3</td>
-                <td>35.2</td>
-                <td>21.8</td>
-                <td>27.1</td>
-                <td>20.7</td>
-                <td>18.9</td>
-                <td>20.4</td>
-                <td>33.0</td>
-                <td>23.1</td>                              
-              </tr>
-              <tr>
-                <td>17</td>
-                <td><b>LLaVAR</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>25.2</b></td>
-                <td>21.9</td>
-                <td>25.0</td>
-                <td>16.7</td>
-                <td>34.8</td>
-                <td>30.7</td>
-                <td>24.2</td>
-                <td>22.1</td>
-                <td>23.0</td>
-                <td>13.5</td>
-                <td>15.3</td>
-                <td>42.6</td>
-                <td>21.9</td>                               
-              </tr>
-              <tr>
-                <td>18</td>
-                <td><b>LLaMA-Adapter-V2 (7B)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>23.9</b></td>
-                <td>21.2</td>
-                <td>25.5</td>
-                <td>11.3</td>
-                <td>32.3</td>
-                <td>31.8</td>
-                <td>26.3</td>
-                <td>20.4</td>
-                <td>24.3</td>
-                <td>24.3</td>
-                <td>13.9</td>
-                <td>29.5</td>
-                <td>18.3</td>                              
-              </tr>
-              <tr>
-                <td>19</td>
-                <td><b>miniGPT4 (LLaMA-2-7B)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>23.1</b></td>
-                <td>18.6</td>
-                <td>26.0</td>
-                <td>13.4</td>
-                <td>30.4</td>
-                <td>30.2</td>
-                <td>28.1</td>
-                <td>21.0</td>
-                <td>24.7</td>
-                <td>16.2</td>
-                <td>16.7</td>
-                <td>25.4</td>
-                <td>17.9</td>                              
-              </tr>
-              <tr>
-                <td>20</td>
-                <td><b>mPLUG-Owl (LLaMA-7B)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>22.2</b></td>
-                <td>22.7</td>
-                <td>23.6</td>
-                <td>10.2</td>
-                <td>27.2</td>
-                <td>27.9</td>
-                <td>23.6</td>
-                <td>19.2</td>
-                <td>23.9</td>
-                <td>13.5</td>
-                <td>12.7</td>
-                <td>26.3</td>
-                <td>21.4</td>                            
-              </tr>
-              <tr>
-                <td>21</td>
-                <td><b>IDEFICS (9B-Instruct)</b></td>
-                <td>LMM 🖼️</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>19.8</b></td>
-                <td>21.6</td>
-                <td>21.1</td>
-                <td>6.5</td>
-                <td>25.9</td>
-                <td>24.0</td>
-                <td>22.1</td>
-                <td>15.0</td>
-                <td>19.8</td>
-                <td>18.9</td>
-                <td>9.9</td>
-                <td>24.6</td>
-                <td>18.1</td>                               
-              </tr>
-              <tr>
-                <td>22</td>
-                <td><b>Random Chance</b></td>
-                <td>-</td>
-                <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-                <td>2023-10-03</td>
-                <td><b>17.9</b></td>
-                <td>18.2</td>
-                <td>21.6</td>
-                <td>3.8</td>
-                <td>19.6</td>
-                <td>26.3</td>
-                <td>21.7</td>
-                <td>14.7</td>
-                <td>20.1</td>
-                <td>13.5</td>
-                <td>8.3</td>
-                <td>17.2</td>
-                <td>16.3</td>                               
-              </tr>                                                              
-          </table> -->
-
-  <!-- <b>Human Performance*:</b> Average human performance from AMT annotators who have high school diplomas or above.
-          <br>
-          <b>Method types:</b> <b>LMM 🖼️:</b> Large Multimodal Model, <b>Tool 🛠️:</b> Tool-augmented Large Language Model.
-          <br>
-          <b>Task types:</b> <b>FQA:</b> figure QA,
-          <b>GPS:</b> geometry problem solving,
-          <b>MWP:</b> math word problem,
-          <b>TQA:</b> textbook QA,
-          <b>VQA:</b> visual QA.
-          <br>
-          <b>Math reasoning types:</b> 
-          <b>ALG:</b> algebraic,
-          <b>ARI:</b> arithmetic,
-          <b>GEO:</b> geometry,
-          <b>LOG:</b> logical ,
-          <b>NUM:</b> numeric,
-          <b>SCI:</b> scientific,
-          <b>STA:</b> statistical.
-          <br>
-          <br>
-          <div>
-          <p>🚨 To submit your results to the leaderboard, please send to <a href="mailto:lupantech@gmail.com">this email</a> with your result json files.
-            </p>
-          </div>
-
-        </div>
-
-        <h2 class="title is-3" id="leaderboard_test">Leaderboard on test</h2>
-        <div class="content">
-          <p class="mt-3">Accuracy scores on the <b>test</b> subset (5,141 examples) of <img src="static/images/mathvista.png" style="width:1.0em;vertical-align: middle" alt="Logo"/>
-            <span class="mathvista">MathVista</span>.
-          </p>
-
-          <table class="js-sort-table" id="results">
-            <tr>
-                <td class="js-sort-number"><strong>#</strong></td>
-                <td class="js-sort-number"><strong>Model</strong></td>
-                <td class="js-sort-number"><strong>Method</strong></td>
-                <td class="js-sort-number"><strong>Source</strong></td>
-                <td class="js-sort-number"><strong>Date</strong></td>
-                <td class="js-sort-number"><strong><u>ALL</u></strong></td>
-                <td class="js-sort-number"><strong>FQA</strong></td>
-                <td class="js-sort-number"><strong>GPS</strong></td>
-                <td class="js-sort-number"><strong>MWP</strong></td>
-                <td class="js-sort-number"><strong>TQA</strong></td>
-                <td class="js-sort-number"><strong>VQA</strong></td>
-                <td class="js-sort-number"><strong>ALG</strong></td>
-                <td class="js-sort-number"><strong>ARI</strong></td>
-                <td class="js-sort-number"><strong>GEO</strong></td>
-                <td class="js-sort-number"><strong>LOG</strong></td>
-                <td class="js-sort-number"><strong>NUM</strong></td>
-                <td class="js-sort-number"><strong>SCI</strong></td>
-                <td class="js-sort-number"><strong>STA</strong></td>
-            </tr>
-            <tr>
-              <td>1</td>
-              <td><b class="best-score-text">Qwen-VL-Plus 🥇</b></td>
-              <td>LMM 🖼️</td>
-              <td><a href="https://github.com/QwenLM/Qwen-VL" class="ext-link" style="font-size: 16px;">Link</a></td>
-              <td>2023-12-26</td>
-              <td><b class="best-score-text">44.33</b></td>
-              <td>55.9</td>
-              <td>34.7</td>
-              <td>29.7</td>
-              <td>58.8</td>
-              <td>42.4</td>
-              <td>40.7</td>
-              <td>35.4</td>
-              <td>36.6</td>
-              <td>21.6</td>
-              <td>30.4</td>
-              <td>55.9</td>
-              <td>56.3</td>                                  
-            </tr>
-            <tr>
-              <td>2</td>
-              <td><b class="best-score-text">PoT GPT-4 (Caption+OCR) 🥈</b></td>
-              <td>Tool 🛠️</td>
-              <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-              <td>2023-10-03</td>
-              <td><b class="best-score-text">31.74</b></td>
-              <td>27.6</td>
-              <td>37.4</td>
-              <td>23.9</td>
-              <td>43.0</td>
-              <td>30.3</td>
-              <td>37.1</td>
-              <td>27.9</td>
-              <td>37.5</td>
-              <td>22.7</td>
-              <td>15.8</td>
-              <td>44.5</td>
-              <td>31.9</td>                                  
-            </tr>
-            <tr>
-              <td>3</td>
-              <td><b class="best-score-text">CoT GPT4 (Caption+OCR) 🥉</b></td>
-              <td>Tool 🛠️</td>
-              <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-              <td>2023-10-03</td>
-              <td><b class="best-score-text">30.50</b></td>
-              <td>27.2</td>
-              <td>35.9</td>
-              <td>21.3</td>
-              <td>43.1</td>
-              <td>28.2</td>
-              <td>35.7</td>
-              <td>25.2</td>
-              <td>35.8</td>
-              <td>24.7</td>
-              <td>15.4</td>
-              <td>47.3</td>
-              <td>31.3</td>                               
-            </tr>
-            <tr>
-              <td>4</td>
-              <td><b>LLaVA (LLaMA-2-13B)</b></td>
-              <td>LMM 🖼️</td>
-              <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-              <td>2023-10-03</td>
-              <td><b>25.40</b></td>
-              <td>22.9</td>
-              <td>24.6</td>
-              <td>18.1</td>
-              <td>35.8</td>
-              <td>29.7</td>
-              <td>26.9</td>
-              <td>22.5</td>
-              <td>24.4</td>
-              <td>19.1</td>
-              <td>19.1</td>
-              <td>34.7</td>
-              <td>21.6</td>                                 
-            </tr>
-            <tr>
-              <td>*</td>
-              <td><b>Random Chance</b></td>
-              <td>-</td>
-              <td><a href="https://arxiv.org/abs/2310.02255" class="ext-link" style="font-size: 16px;">Link</a></td>
-              <td>2023-10-03</td>
-              <td><b>17.86</b></td>
-              <td>15.5</td>
-              <td>24.1</td>
-              <td>4.5</td>
-              <td>23.4</td>
-              <td>24.3</td>
-              <td>25.8</td>
-              <td>13.8</td>
-              <td>22.7</td>
-              <td>13.4</td>
-              <td>8.8</td>
-              <td>15.8</td>
-              <td>14.3</td>                                                  
-            </tr>                                                      
-        </table>
-
-          <b>Human Performance*:</b> Average human performance from AMT annotators who have high school diplomas or above.
-          <br>
-          <b>Method types:</b> <b>LMM 🖼️:</b> Large Multimodal Model, <b>Tool 🛠️:</b> Tool-augmented Large Language Model.
-          <br>
-          <b>Task types:</b> <b>FQA:</b> figure QA,
-          <b>GPS:</b> geometry problem solving,
-          <b>MWP:</b> math word problem,
-          <b>TQA:</b> textbook QA,
-          <b>VQA:</b> visual QA.
-          <br>
-          <b>Math reasoning types:</b> 
-          <b>ALG:</b> algebraic,
-          <b>ARI:</b> arithmetic,
-          <b>GEO:</b> geometry,
-          <b>LOG:</b> logical ,
-          <b>NUM:</b> numeric,
-          <b>SCI:</b> scientific,
-          <b>STA:</b> statistical.
-          <br>
-          <br>
-          <div>
-          <p>🚨 To submit your results to the leaderboard, please send to <a href="mailto:lupantech@gmail.com">this email</a> with your result json files.</p>
-          <p>🚨 For more submission details, please refer to <a href="https://github.com/lupantech/MathVista?tab=readme-ov-file#-leaderboard-">this link</a> and <a href="https://github.com/lupantech/MathVista?tab=readme-ov-file#-evaluations-on-mathvista">this link</a>.
-          </p>
-          </div>
-        </div>
-
-      </div>
-    </div>
-
-  </div>
-</section> -->
 
   <!-- DATASET SECTION -->
   <section class="hero is-light is-small">
@@ -1309,6 +625,27 @@ <h2 class="title is-3">Case Study</h2>
                 </p>
               </div>
             </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/4.png" alt="grade-lv" width="40%" />
+                <p>GPT-4-Turbo + ReAct in tool-use scenario.  
+                </p>
+              </div>
+            </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/5.png" alt="grade-lv" width="40%" />
+                <p>GPT-4-Turbo + ReAct in tool-use scenario.  
+                </p>
+              </div>
+            </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/6.png" alt="grade-lv" width="40%" />
+                <p>GPT-4-Turbo + ReAct in tool-use scenario.  
+                </p>
+              </div>
+            </div>
             <div class="box m-5">
               <div class="content has-text-centered">
                 <img src="static/images/results-examples/2.png" alt="grade-lv" width="40%" />
@@ -1316,6 +653,27 @@ <h2 class="title is-3">Case Study</h2>
                   GPT-4-Turbo + Direct Planning in sole-planning scenario.  
               </div>
             </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/7.png" alt="grade-lv" width="40%" />
+                <p>
+                  GPT-4-Turbo + Direct Planning in sole-planning scenario.  
+              </div>
+            </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/8.png" alt="grade-lv" width="40%" />
+                <p>
+                  GPT-4-Turbo + Direct Planning in sole-planning scenario.  
+              </div>
+            </div>
+            <div class="box m-5">
+              <div class="content has-text-centered">
+                <img src="static/images/results-examples/9.png" alt="grade-lv" width="40%" />
+                <p>
+                  GPT-4-Turbo + Direct Planning in sole-planning scenario.  
+              </div>
+            </div>
             <div class="box m-5">
               <div class="content has-text-centered">
                 <img src="static/images/results-examples/3.png" alt="grade-lv" width="40%" />
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