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<!DOCTYPE html>
<html>
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<title> MME-RealWorld </title>
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More Research
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<a class="navbar-item" href="https://github.com/VITA-MLLM/VITA">
<b>VITA</b>
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<a class="navbar-item" href="https://github.com/yfzhang114/SliME">
<b>SliME</b>
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<a class="navbar-item" href="https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models">
<b>MME</b>
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<section class="hero">
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<h1 class="title is-1 publication-title is-bold">
<img src="static/images/logo.png" style="width:1.8em;vertical-align: middle" alt="Logo"/>
<span class="mme-realworld" style="vertical-align: middle;text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5)">MME-RealWorld</span>
</h1>
<h2 class="subtitle is-3 publication-subtitle ", style="width: 100%;margin-bottom: 20px;">
<strong>Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?</strong>
</h2>
<div class="is-size-5 publication-authors", style="width: 100%; margin: 15px auto;", >
<span class="author-block">Yi-Fan Zhang<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Huanyu Zhang<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Haochen Tian<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Chaoyou Fu<sup style="color:#9400D3">2</sup>,</span>
<span class="author-block">Shuangqing Zhang<sup style="color:#9400D3">2</sup>,</span>
<span class="author-block">Junfei Wu<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Feng Li<sup style="color:#ed4b82">3</sup>,</span>
<span class="author-block">Kun Wang<sup style="color:#ffac33">4</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Qingsong Wen<sup style="color:#6fbf73">6</sup>,</span>
<span class="author-block">Zhang Zhang<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Liang Wang<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup>,</span>
<span class="author-block">Rong Jin<sup style="color:#33ffd6;">7</sup>,</span>
<span class="author-block">Tieniu Tan<sup style="color:#18acfb;">1</sup><sup>,</sup><sup style="color:#9400D3">2</sup><sup>,</sup><sup style="color:#1a4ebf">5</sup></span>
<br><span class="author-block", style="font-size:25px;text-shadow: 2px 2px 4px rgba(67, 113, 232, 0.5)"><a href="http://www.cripac.ia.ac.cn/CN/model/index.htm">CASIA MAIS-NLPR</a></span></br>
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<span class="author-block"><sup style="color:#53bcf5">1</sup>CASIA,</span>
<span class="author-block"><sup style="color:#9400D3">2</sup>NJU,</span>
<span class="author-block"><sup style="color:#ed4b82">3</sup>HKUST,</span>
<span class="author-block"><sup style="color:#ffac33">4</sup>NTU,</span>
<span class="author-block"><sup style="color:#1a4ebf">5</sup>UCAS,</span>
<span class="author-block"><sup style="color:#6fbf73">6</sup>Squirrel AI Learning,</span>
<span class="author-block"><sup style="color:#33ffd6">7</sup>Meta AI</span><br>
<!-- <span class="paper-block"><b style="color:#f41c1c">ICLR 2024 Oral</b> (85 in 7304, 1.2%)</span> -->
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<a href="https://arxiv.org/abs/2408.13257"
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<h2 class="title is-3" style="margin-top: -5%;">Introduction</h2>
<div class="content has-text-justified">
Existing Multimodal Large Language Model benchmarks present several common barriers that make it <strong>difficult to measure the significant challenges that models face in the real world</strong>, including:
1) small data scale leads to a large performance variance;
2) reliance on model-based annotations results in restricted data quality;
3) insufficient task difficulty, especially caused by the limited image resolution.<br>
We present MME-RealWorld, <strong>a benchmark meticulously designed to address real-world applications with practical relevance.</strong>
Featuring 13,366 high-resolution images averaging <strong>2,000 × 1,500</strong> pixels, MME-RealWorld poses substantial recognition challenges.
Our dataset encompasses <strong>29,429 annotations across 43 tasks</strong>, all expertly curated by a team of 25 crowdsource workers and 7 MLLM experts.
The main advantages of MME-RealWorld compared to existing MLLM benchmarks as follows:<br>
<strong> 1. Scale:</strong> with the efforts of a total of 32 volunteers, we have manually annotated <strong>29,429 QA pairs</strong> focused on real-world scenarios, making this the largest fully human-annotated benchmark known to date.<br>
<strong> 2. Data Quality.</strong> 1) Resolution: Many image details, such as a scoreboard in a sports event, carry critical information. These details can only be properly interpreted with high- resolution images, which are essential for providing meaningful assistance to humans. To the best of our knowledge, MME-RealWorld features the highest average image resolution among existing competitors. 2) Annotation: All annotations are manually completed, with a professional team cross-checking the results to ensure data quality.<br>
<strong> 3. Task Difficulty and Real-World Utility.</strong> We can see that even the most advanced models have not surpassed 60% accuracy. Additionally, many real-world tasks are significantly more difficult than those in traditional benchmarks. For example, in video monitoring, a model needs to count the presence of 133 vehicles, or in remote sensing, it must identify and count small objects on a map with an average resolution exceeding 5000×5000.<br>
<strong> 4. MME-RealWorld-CN.</strong> Existing Chinese benchmark is usually translated from its English version. This has two limitations: 1) Question-image mismatch. The image may relate to an English scenario, which is not intuitively connected to a Chinese question. 2) Translation mismatch. The machine translation is not always precise and perfect enough. We collect additional images that focus on Chinese scenarios, asking Chinese volunteers for annotation. This results in <strong>5,917 QA pairs.</strong><br>
</div>
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<!--/ Abstract. -->
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</section>
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<h2 class="title is-3" id="leaderboard" style="margin-top: -5%;">Leaderboard</h2>
<div class="content">
<p class="mt-3">Models are ranked according to their average performance on perception and reasoning tasks, from highest to lowest.
<strong>“OCR”, “RS”, “DT”, “MO” and “AD” </strong> each indicate a specific task domain: Optical Character Recognition in the Wild, Remote Sensing, Diagram and Table, Monitoring, and Autonomous Driving, respectively.
<strong>“Avg” and “Avg-C”</strong> indicate the weighted average accuracy and the unweighted average accuracy across subtasks in each domain.
</p>
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<strong>Medium Video:</strong> 4min ~ 15min         
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By default, this leaderboard is sorted by results with <strong>Overall</strong>. To view other sorted results, please click on the corresponding cell.
</p>
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<table class="js-sort-table" id="results" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th rowspan="3" class="no-sort" style="vertical-align: middle; width: 30px;" data-js-sort-colNum="none"><strong>#</strong></th>
<th rowspan="1" class="no-sort" style="vertical-align: middle; width: 215px;" data-js-sort-colNum="none"><strong>Method</strong></th>
<th rowspan="1" class="no-sort" style="vertical-align: middle; width: 30px;"><strong>LLM</strong></th>
<th rowspan="1" class="no-sort" style="vertical-align: middle; width: 100px;"><strong>Date</strong></th>
<th colspan="1" style="vertical-align: middle; width: 30 ;font-style: italic" data-js-sort-colNum="4"><strong>Overall</strong></th>
<th colspan="7" style="vertical-align: middle; width: 300px;" data-js-sort-colNum="10"><strong>Perception</strong></th>
<th colspan="6" style="vertical-align: middle; width: 280px;" data-js-sort-colNum="16"><strong>Reasoning</strong></th>
</tr>
<tr>
<th colspan="3" class="no-sort"><strong>Task Split</strong></th>
<th data-js-sort-colNum="4" style="font-style: italic;"><strong>Avg</strong></th>
<th data-js-sort-colNum="5"><strong>OCR</strong></th>
<th data-js-sort-colNum="6"><strong>RS</strong></th>
<th data-js-sort-colNum="7"><strong>DT</strong></th>
<th data-js-sort-colNum="8"><strong>MO</strong></th>
<th data-js-sort-colNum="9"><strong>AD</strong></th>
<th data-js-sort-colNum="10"><strong>Avg</strong></th>
<th data-js-sort-colNum="11"><strong>Avg-C</strong></th>
<th data-js-sort-colNum="12"><strong>OCR</strong></th>
<th data-js-sort-colNum="13"><strong>DT</strong></th>
<th data-js-sort-colNum="14"><strong>MO</strong></th>
<th data-js-sort-colNum="15"><strong>AD</strong></th>
<th data-js-sort-colNum="16"><strong>Avg</strong></th>
<th data-js-sort-colNum="17"><strong>Avg-C</strong></th>
</tr>
<tr>
<th colspan="3" class="no-sort"><strong>QA pairs</strong></th>
<th data-js-sort-colNum="4" style="font-style: italic;"><strong>23599</strong></th>
<th data-js-sort-colNum="5"><strong>5740</strong></th>
<th data-js-sort-colNum="6"><strong>3738</strong></th>
<th data-js-sort-colNum="7"><strong>5433</strong></th>
<th data-js-sort-colNum="8"><strong>2196</strong></th>
<th data-js-sort-colNum="9"><strong>3660</strong></th>
<th data-js-sort-colNum="10"><strong>20767</strong></th>
<th data-js-sort-colNum="11"><strong>20767</strong></th>
<th data-js-sort-colNum="12"><strong>500</strong></th>
<th data-js-sort-colNum="13"><strong>500</strong></th>
<th data-js-sort-colNum="14"><strong>498</strong></th>
<th data-js-sort-colNum="15"><strong>1334</strong></th>
<th data-js-sort-colNum="16"><strong>2832</strong></th>
<th data-js-sort-colNum="17"><strong>2832</strong></th>
</tr>
</thead>
<tbody>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://github.com/MetabrainAGI/Awaker" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Awaker2.5-VL
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Metabrain AGI</p>
</a></b></td>
<td style="vertical-align: middle;">9.8B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-11-17</b></td>
<td style="vertical-align: middle;"><strong>60.8</strong></td>
<td style="vertical-align: middle;">83.34</td>
<td style="vertical-align: middle;">49.49</td>
<td style="vertical-align: middle;">72.72</td>
<td style="vertical-align: middle;">39.48</td>
<td style="vertical-align: middle;">45.38</td>
<td style="vertical-align: middle;"><strong>63.14</strong></td>
<td style="vertical-align: middle;"><strong>58.08</strong></td>
<td style="vertical-align: middle;">63.20</td>
<td style="vertical-align: middle;">49.40</td>
<td style="vertical-align: middle;">45.38</td>
<td style="vertical-align: middle;">33.78</td>
<td style="vertical-align: middle;"><strong>43.74</strong></td>
<td style="vertical-align: middle;"><strong>47.94</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://huggingface.co/OpenGVLab/InternVL2_5-8B" class="ext-link" style="font-size: 16px; margin-left: 5px;">
InternVL2.5
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Shanghai AI Lab</p>
</a></b></td>
<td style="vertical-align: middle;">8B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-12-08</b></td>
<td style="vertical-align: middle;"><strong>58.1</strong></td>
<td style="vertical-align: middle;">79.49</td>
<td style="vertical-align: middle;">48.58</td>
<td style="vertical-align: middle;">71.07</td>
<td style="vertical-align: middle;">40.21</td>
<td style="vertical-align: middle;">37.35</td>
<td style="vertical-align: middle;"><strong>60.15</strong></td>
<td style="vertical-align: middle;"><strong>55.34</strong></td>
<td style="vertical-align: middle;">62.00</td>
<td style="vertical-align: middle;">51.80</td>
<td style="vertical-align: middle;">37.35</td>
<td style="vertical-align: middle;">34.23</td>
<td style="vertical-align: middle;"><strong>42.82</strong></td>
<td style="vertical-align: middle;"><strong>46.34</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://arxiv.org/pdf/2408.03326" class="ext-link" style="font-size: 16px; margin-left: 5px;">
LLaVA-OneVision
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Bytedance & NTU S-Lab</p>
</a></b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-09-29</b></td>
<td style="vertical-align: middle;"><strong>57.4</strong></td>
<td style="vertical-align: middle;">78.69</td>
<td style="vertical-align: middle;">53.53</td>
<td style="vertical-align: middle;">60.70</td>
<td style="vertical-align: middle;">40.26</td>
<td style="vertical-align: middle;">45.77</td>
<td style="vertical-align: middle;"><strong>59.59</strong></td>
<td style="vertical-align: middle;"><strong>55.81</strong></td>
<td style="vertical-align: middle;">61.80</td>
<td style="vertical-align: middle;">40.00</td>
<td style="vertical-align: middle;">40.76</td>
<td style="vertical-align: middle;">34.08</td>
<td style="vertical-align: middle;"><strong>41.17</strong></td>
<td style="vertical-align: middle;"><strong>44.16</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Qwen2.5-VL
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Alibaba</p>
</a></b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2025-02-13</b></td>
<td style="vertical-align: middle;"><strong>57.3</strong></td>
<td style="vertical-align: middle;">84.60</td>
<td style="vertical-align: middle;">39.22</td>
<td style="vertical-align: middle;">77.97</td>
<td style="vertical-align: middle;">38.52</td>
<td style="vertical-align: middle;">28.83</td>
<td style="vertical-align: middle;"><strong>59.99</strong></td>
<td style="vertical-align: middle;"><strong>53.83</strong></td>
<td style="vertical-align: middle;">62.80</td>
<td style="vertical-align: middle;">59.80</td>
<td style="vertical-align: middle;">20.88</td>
<td style="vertical-align: middle;">26.04</td>
<td style="vertical-align: middle;"><strong>37.54</strong></td>
<td style="vertical-align: middle;"><strong>42.61</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Qwen2-VL
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Alibaba</p>
</a></b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-09-03</b></td>
<td style="vertical-align: middle;"><strong>56.5</strong></td>
<td style="vertical-align: middle;">81.38</td>
<td style="vertical-align: middle;">44.81</td>
<td style="vertical-align: middle;">70.18</td>
<td style="vertical-align: middle;">37.30</td>
<td style="vertical-align: middle;">34.62</td>
<td style="vertical-align: middle;"><strong>58.96</strong></td>
<td style="vertical-align: middle;"><strong>53.66</strong></td>
<td style="vertical-align: middle;">63.40</td>
<td style="vertical-align: middle;">48.60</td>
<td style="vertical-align: middle;">33.13</td>
<td style="vertical-align: middle;">31.47</td>
<td style="vertical-align: middle;"><strong>40.39</strong></td>
<td style="vertical-align: middle;"><strong>44.15</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="xiaosuan.com" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Xiaosuan-2.0-VL
<p style="font-size: 12px; margin-left: 5px; color: #858383;">OpenBayes</p>
</a></b></td>
<td style="vertical-align: middle;">-</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-09-30</b></td>
<td style="vertical-align: middle;"><strong>55.7</strong></td>
<td style="vertical-align: middle;">80.75</td>
<td style="vertical-align: middle;">44.66</td>
<td style="vertical-align: middle;">68.01</td>
<td style="vertical-align: middle;">37.07</td>
<td style="vertical-align: middle;">31.94</td>
<td style="vertical-align: middle;"><strong>57.64</strong></td>
<td style="vertical-align: middle;"><strong>52.48</strong></td>
<td style="vertical-align: middle;">63.40</td>
<td style="vertical-align: middle;">49.40</td>
<td style="vertical-align: middle;">35.74</td>
<td style="vertical-align: middle;">31.62</td>
<td style="vertical-align: middle;"><strong>41.06</strong></td>
<td style="vertical-align: middle;"><strong>45.04</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://github.com/OpenGVLab/InternVL" class="ext-link" style="font-size: 16px; margin-left: 5px;">
InternVL2
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Shanghai AI Lab</p>
</a></b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>53.5</strong></td>
<td style="vertical-align: middle;">73.92</td>
<td style="vertical-align: middle;">39.35</td>
<td style="vertical-align: middle;">62.80</td>
<td style="vertical-align: middle;">53.19</td>
<td style="vertical-align: middle;">35.46</td>
<td style="vertical-align: middle;"><strong>55.82</strong></td>
<td style="vertical-align: middle;"><strong>52.94</strong></td>
<td style="vertical-align: middle;">57.40</td>
<td style="vertical-align: middle;">39.00</td>
<td style="vertical-align: middle;">43.57</td>
<td style="vertical-align: middle;">29.84</td>
<td style="vertical-align: middle;"><strong>38.74</strong></td>
<td style="vertical-align: middle;"><strong>42.45</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://www.anthropic.com/news/claude-3-5-sonnet" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Claude 3.5 Sonnet
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Anthropic</p>
</a></b></td>
<td style="vertical-align: middle;">-</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>51.6</strong></td>
<td style="vertical-align: middle;">72.47</td>
<td style="vertical-align: middle;">25.74</td>
<td style="vertical-align: middle;">67.44</td>
<td style="vertical-align: middle;">32.19</td>
<td style="vertical-align: middle;">40.77</td>
<td style="vertical-align: middle;"><strong>52.90</strong></td>
<td style="vertical-align: middle;"><strong>47.72</strong></td>
<td style="vertical-align: middle;">61.90</td>
<td style="vertical-align: middle;">61.20</td>
<td style="vertical-align: middle;">41.79</td>
<td style="vertical-align: middle;">31.92</td>
<td style="vertical-align: middle;"><strong>44.12</strong></td>
<td style="vertical-align: middle;"><strong>49.20</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://arxiv.org/pdf/2309.15112" class="ext-link" style="font-size: 16px; margin-left: 5px;">
InternLM-XComposer2.5
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Shanghai AI Lab</p>
</a></b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>50.0</strong></td>
<td style="vertical-align: middle;">69.25 </td>
<td style="vertical-align: middle;">36.12</td>
<td style="vertical-align: middle;">63.92 </td>
<td style="vertical-align: middle;">39.48</td>
<td style="vertical-align: middle;">33.63</td>
<td style="vertical-align: middle;"><strong>52.47</strong></td>
<td style="vertical-align: middle;"><strong>48.48</strong></td>
<td style="vertical-align: middle;">53.40</td>
<td style="vertical-align: middle;">41.00</td>
<td style="vertical-align: middle;">17.67</td>
<td style="vertical-align: middle;">29.99</td>
<td style="vertical-align: middle;"><strong>33.90</strong></td>
<td style="vertical-align: middle;"><strong>35.52</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://github.com/OpenGVLab/InternVL" class="ext-link" style="font-size: 16px; margin-left: 5px;">
InternVL-Chat-V1.5
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Shanghai AI Lab</p>
</a></b></td>
<td style="vertical-align: middle;">20B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>49.4</strong></td>
<td style="vertical-align: middle;">71.51</td>
<td style="vertical-align: middle;">33.55</td>
<td style="vertical-align: middle;">55.83</td>
<td style="vertical-align: middle;">51.16</td>
<td style="vertical-align: middle;">31.42</td>
<td style="vertical-align: middle;"><strong>51.56</strong></td>
<td style="vertical-align: middle;"><strong>48.69</strong></td>
<td style="vertical-align: middle;">56.80</td>
<td style="vertical-align: middle;">35.40</td>
<td style="vertical-align: middle;">37.35</td>
<td style="vertical-align: middle;">28.94</td>
<td style="vertical-align: middle;"><strong>36.48</strong></td>
<td style="vertical-align: middle;"><strong>39.62</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://github.com/VITA-MLLM/VITA" class="ext-link" style="font-size: 16px; margin-left: 5px;">
VITA
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Tencent Youtu Lab</p>
</a></b></td>
<td style="vertical-align: middle;">8*7B</td>
<td style="vertical-align: middle; color: #6fbf73;"><b>2024-09-12</b></td>
<td style="vertical-align: middle;"><strong>47.5</strong></td>
<td style="vertical-align: middle;">70.60</td>
<td style="vertical-align: middle;">39.40</td>
<td style="vertical-align: middle;">42.60</td>
<td style="vertical-align: middle;">37.50</td>
<td style="vertical-align: middle;">38.20</td>
<td style="vertical-align: middle;"><strong>48.40</strong></td>
<td style="vertical-align: middle;"><strong>45.66</strong></td>
<td style="vertical-align: middle;">62.20</td>
<td style="vertical-align: middle;">31.80</td>
<td style="vertical-align: middle;">43.20</td>
<td style="vertical-align: middle;">35.40</td>
<td style="vertical-align: middle;"><strong>40.90</strong></td>
<td style="vertical-align: middle;"><strong>43.15</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2403.18814" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Mini-Gemini-34B-HD
<p style="font-size: 12px; margin-left: 5px; color: #858383;">CUHK</p>
</a></b></td>
<td style="vertical-align: middle;">34B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>45.9</strong></td>
<td style="vertical-align: middle;">69.55</td>
<td style="vertical-align: middle;">40.40</td>
<td style="vertical-align: middle;">44.36</td>
<td style="vertical-align: middle;">39.61</td>
<td style="vertical-align: middle;">32.70</td>
<td style="vertical-align: middle;"><strong>48.05</strong></td>
<td style="vertical-align: middle;"><strong>45.32</strong></td>
<td style="vertical-align: middle;">59.20</td>
<td style="vertical-align: middle;">39.20</td>
<td style="vertical-align: middle;">20.48</td>
<td style="vertical-align: middle;">22.84</td>
<td style="vertical-align: middle;"><strong>31.73</strong></td>
<td style="vertical-align: middle;"><strong>35.43</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://github.com/OpenBMB/MiniCPM-V" class="ext-link" style="font-size: 16px; margin-left: 5px;">
MiniCPM-V 2.5
<p style="font-size: 12px; margin-left: 5px; color: #858383;">OpenBMB</p>
</a> </b></td>
<td style="vertical-align: middle;">8B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>45.6</strong></td>
<td style="vertical-align: middle;">66.79 </td>
<td style="vertical-align: middle;">27.69 </td>
<td style="vertical-align: middle;">52.81</td>
<td style="vertical-align: middle;">38.70</td>
<td style="vertical-align: middle;">34.15</td>
<td style="vertical-align: middle;"><strong>47.37</strong></td>
<td style="vertical-align: middle;"><strong>44.03</strong></td>
<td style="vertical-align: middle;">44.00</td>
<td style="vertical-align: middle;">31.80</td>
<td style="vertical-align: middle;">36.95</td>
<td style="vertical-align: middle;">31.03</td>
<td style="vertical-align: middle;"><strong>34.50</strong></td>
<td style="vertical-align: middle;"><strong>35.95</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://openai.com/index/hello-gpt-4o/" class="ext-link" style="font-size: 16px; margin-left: 5px;">
GPT-4o
<p style="font-size: 12px; margin-left: 5px; color: #858383;">OpenAI</p>
</a></b></td>
<td style="vertical-align: middle;">-</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>45.2</strong></td>
<td style="vertical-align: middle;">77.69</td>
<td style="vertical-align: middle;">28.92</td>
<td style="vertical-align: middle;">46.68</td>
<td style="vertical-align: middle;">33.93</td>
<td style="vertical-align: middle;">22.43</td>
<td style="vertical-align: middle;"><strong>46.43</strong></td>
<td style="vertical-align: middle;"><strong>41.93</strong></td>
<td style="vertical-align: middle;">61.40</td>
<td style="vertical-align: middle;">44.80</td>
<td style="vertical-align: middle;">36.51</td>
<td style="vertical-align: middle;">26.41</td>
<td style="vertical-align: middle;"><strong>37.61</strong></td>
<td style="vertical-align: middle;"><strong>42.28</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://github.com/THUDM/CogVLM2" class="ext-link" style="font-size: 16px; margin-left: 5px;">
CogVLM2-llama3-Chat
<p style="font-size: 12px; margin-left: 5px; color: #858383;">THU & Zhipu AI</p>
</a></b></td>
<td style="vertical-align: middle;">8B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>44.6</strong></td>
<td style="vertical-align: middle;">69.97</td>
<td style="vertical-align: middle;">28.76</td>
<td style="vertical-align: middle;">47.51</td>
<td style="vertical-align: middle;">33.74</td>
<td style="vertical-align: middle;">30.22</td>
<td style="vertical-align: middle;"><strong>45.85</strong></td>
<td style="vertical-align: middle;"><strong>42.04</strong></td>
<td style="vertical-align: middle;">54.00</td>
<td style="vertical-align: middle;">32.80</td>
<td style="vertical-align: middle;">41.16</td>
<td style="vertical-align: middle;">31.18</td>
<td style="vertical-align: middle;"><strong>37.25</strong></td>
<td style="vertical-align: middle;"><strong>39.62</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2406.16860" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Cambrain-1-34B
<p style="font-size: 12px; margin-left: 5px; color: #858383;">NYU</p>
</a> </b></td>
<td style="vertical-align: middle;">34B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>44.1</strong></td>
<td style="vertical-align: middle;">66.45</td>
<td style="vertical-align: middle;">38.63</td>
<td style="vertical-align: middle;">40.44</td>
<td style="vertical-align: middle;">45.98</td>
<td style="vertical-align: middle;">33.61</td>
<td style="vertical-align: middle;"><strong>46.68</strong></td>
<td style="vertical-align: middle;"><strong>45.02</strong></td>
<td style="vertical-align: middle;">55.00</td>
<td style="vertical-align: middle;">36.00</td>
<td style="vertical-align: middle;">19.48</td>
<td style="vertical-align: middle;">16.07</td>
<td style="vertical-align: middle;"><strong>27.06</strong></td>
<td style="vertical-align: middle;"><strong>31.64</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2406.16860" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Cambrain-1-8B
<p style="font-size: 12px; margin-left: 5px; color: #858383;">NYU</p>
</a> </b></td>
<td style="vertical-align: middle;">8B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>42.7</strong></td>
<td style="vertical-align: middle;">58.68</td>
<td style="vertical-align: middle;">40.05</td>
<td style="vertical-align: middle;">32.73</td>
<td style="vertical-align: middle;">47.68</td>
<td style="vertical-align: middle;">38.52</td>
<td style="vertical-align: middle;"><strong>43.82</strong></td>
<td style="vertical-align: middle;"><strong>43.53</strong></td>
<td style="vertical-align: middle;">53.20</td>
<td style="vertical-align: middle;">27.40</td>
<td style="vertical-align: middle;">42.37</td>
<td style="vertical-align: middle;">30.73</td>
<td style="vertical-align: middle;"><strong>36.16</strong></td>
<td style="vertical-align: middle;"><strong>38.43</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://github.com/yfzhang114/SliME" class="ext-link" style="font-size: 16px; margin-left: 5px;">
SliME-8B
<p style="font-size: 12px; margin-left: 5px; color: #858383;">CASIA</p>
</a></b></td>
<td style="vertical-align: middle;">8B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>39.6</strong></td>
<td style="vertical-align: middle;">53.45 </td>
<td style="vertical-align: middle;">42.27 </td>
<td style="vertical-align: middle;">29.34 </td>
<td style="vertical-align: middle;">40.62 </td>
<td style="vertical-align: middle;">33.66 </td>
<td style="vertical-align: middle;"><strong>40.29</strong></td>
<td style="vertical-align: middle;"><strong>39.87</strong></td>
<td style="vertical-align: middle;">53.20</td>
<td style="vertical-align: middle;">29.40</td>
<td style="vertical-align: middle;">36.14</td>
<td style="vertical-align: middle;">31.55</td>
<td style="vertical-align: middle;"><strong>35.80</strong></td>
<td style="vertical-align: middle;"><strong>37.57</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;">
<b class="">
<a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Gemini-1.5-Pro</a>
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Google</p>
</b>
</td>
<td style="vertical-align: middle;">-</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>38.2</strong></td>
<td style="vertical-align: middle;">67.62</td>
<td style="vertical-align: middle;">13.99</td>
<td style="vertical-align: middle;">39.90</td>
<td style="vertical-align: middle;">31.11</td>
<td style="vertical-align: middle;">26.64</td>
<td style="vertical-align: middle;"><strong>39.63</strong></td>
<td style="vertical-align: middle;"><strong>35.85</strong></td>
<td style="vertical-align: middle;">52.70</td>
<td style="vertical-align: middle;">33.20</td>
<td style="vertical-align: middle;">28.33</td>
<td style="vertical-align: middle;">19.20</td>
<td style="vertical-align: middle;"><strong>29.19</strong></td>
<td style="vertical-align: middle;"><strong>33.36</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/" class="ext-link" style="font-size: 16px; margin-left: 5px;">
GPT-4o-mini
<p style="font-size: 12px; margin-left: 5px; color: #858383;">OpenAI</p>
</a> </b></td>
<td style="vertical-align: middle;">-</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>36.4</strong></td>
<td style="vertical-align: middle;">62.51</td>
<td style="vertical-align: middle;"> 6.69 </td>
<td style="vertical-align: middle;">44.23 </td>
<td style="vertical-align: middle;">26.50 </td>
<td style="vertical-align: middle;">24.18 </td>
<td style="vertical-align: middle;"><strong>37.12</strong> </td>
<td style="vertical-align: middle;"><strong>32.82</strong> </td>
<td style="vertical-align: middle;">47.00</td>
<td style="vertical-align: middle;">39.08</td>
<td style="vertical-align: middle;">25.81</td>
<td style="vertical-align: middle;">26.76</td>
<td style="vertical-align: middle;"><strong>32.48</strong></td>
<td style="vertical-align: middle;"><strong>24.85</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2311.06607" class="ext-link" style="font-size: 16px; margin-left: 5px;">
Monkey
<p style="font-size: 12px; margin-left: 5px; color: #858383;">HUST</p>
</a> </b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>35.3</strong></td>
<td style="vertical-align: middle;">54.63</td>
<td style="vertical-align: middle;">24.99</td>
<td style="vertical-align: middle;">23.51</td>
<td style="vertical-align: middle;">28.01</td>
<td style="vertical-align: middle;">29.67</td>
<td style="vertical-align: middle;"><strong>36.30</strong> </td>
<td style="vertical-align: middle;"><strong>33.96</strong> </td>
<td style="vertical-align: middle;">27.20</td>
<td style="vertical-align: middle;">20.80</td>
<td style="vertical-align: middle;">27.31</td>
<td style="vertical-align: middle;">33.04</td>
<td style="vertical-align: middle;"><strong>28.84</strong></td>
<td style="vertical-align: middle;"><strong>27.09</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2403.12895" class="ext-link" style="font-size: 16px; margin-left: 5px;">
mPLUG-DocOwl 1.5
<p style="font-size: 12px; margin-left: 5px; color: #858383;">Alibaba</p>
</a> </b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>32.7</strong></td>
<td style="vertical-align: middle;">51.15</td>
<td style="vertical-align: middle;">23.71</td>
<td style="vertical-align: middle;">29.34</td>
<td style="vertical-align: middle;">24.97</td>
<td style="vertical-align: middle;">28.28</td>
<td style="vertical-align: middle;"><strong>33.71</strong> </td>
<td style="vertical-align: middle;"><strong>31.49</strong> </td>
<td style="vertical-align: middle;">42.60</td>
<td style="vertical-align: middle;">19.80</td>
<td style="vertical-align: middle;">20.48</td>
<td style="vertical-align: middle;">26.04</td>
<td style="vertical-align: middle;"><strong>26.88</strong></td>
<td style="vertical-align: middle;"><strong>27.23</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2403.05525" class="ext-link" style="font-size: 16px; margin-left: 5px;">
DeepSeek-VL
<p style="font-size: 12px; margin-left: 5px; color: #858383;">DeepSeek-AI</p>
</a> </b></td>
<td style="vertical-align: middle;">7B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>32.4</strong></td>
<td style="vertical-align: middle;">49.55 </td>
<td style="vertical-align: middle;">25.49</td>
<td style="vertical-align: middle;">23.38</td>
<td style="vertical-align: middle;">26.97</td>
<td style="vertical-align: middle;">33.39</td>
<td style="vertical-align: middle;"><strong>33.14</strong> </td>
<td style="vertical-align: middle;"><strong>31.76</strong> </td>
<td style="vertical-align: middle;">45.20</td>
<td style="vertical-align: middle;">23.80</td>
<td style="vertical-align: middle;">16.67</td>
<td style="vertical-align: middle;">27.31</td>
<td style="vertical-align: middle;"><strong>27.98</strong></td>
<td style="vertical-align: middle;"><strong>28.25</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class=""><a href="https://github.com/yfzhang114/SliME" class="ext-link" style="font-size: 16px; margin-left: 5px;">
SliME-13B
<p style="font-size: 12px; margin-left: 5px; color: #858383;">CASIA</p>
</a></b></td>
<td style="vertical-align: middle;">13B</td>
<td style="vertical-align: middle; ">2024-08-26</td>
<td style="vertical-align: middle;"><strong>31.7</strong></td>
<td style="vertical-align: middle;">50.58</td>
<td style="vertical-align: middle;">25.82</td>
<td style="vertical-align: middle;">20.93</td>
<td style="vertical-align: middle;">24.73</td>
<td style="vertical-align: middle;">27.16</td>
<td style="vertical-align: middle;"><strong>31.50</strong> </td>
<td style="vertical-align: middle;"><strong>29.84</strong> </td>
<td style="vertical-align: middle;">41.00</td>
<td style="vertical-align: middle;">39.00</td>
<td style="vertical-align: middle;">33.13</td>
<td style="vertical-align: middle;">30.80</td>
<td style="vertical-align: middle;"><strong>34.46</strong></td>
<td style="vertical-align: middle;"><strong>35.98</strong></td>
</tr>
<tr>
<td style="vertical-align: middle;"></td>
<td style="text-align: left; padding: 2px 10px;"><b class="">
<a href="https://arxiv.org/pdf/2403.04652" class="ext-link" style="font-size: 16px; margin-left: 5px;">
YI-VL-34B
<p style="font-size: 12px; margin-left: 5px; color: #858383;">01.AI</p>
</a></b></td>
<td style="vertical-align: middle;">34B</td>