Update README.md
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README.md
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@@ -291,192 +291,6 @@ An inverse trend can be observed, with SLIMER emerging as the most effective in
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<table>
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<thead>
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<tr>
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<th>Model</th>
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<th>Backbone</th>
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<th>#Params</th>
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<th colspan="2">MIT</th>
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<th colspan="5">CrossNER</th>
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<th>BUSTER</th>
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<th>AVG</th>
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</tr>
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<tr>
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<th></th>
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<th></th>
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<th></th>
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<th>Movie</th>
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<th>Restaurant</th>
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<th>AI</th>
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<th>Literature</th>
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<th>Music</th>
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<th>Politics</th>
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<th>Science</th>
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<th></th>
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<th></th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>ChatGPT</td>
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<td>gpt-3.5-turbo</td>
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<td>-</td>
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<td>5.3</td>
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<td>32.8</td>
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<td>52.4</td>
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<td>39.8</td>
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<td>66.6</td>
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<td>68.5</td>
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<td>67.0</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>InstructUIE</td>
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<td>Flan-T5-xxl</td>
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<td>11B</td>
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<td>63.0</td>
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<td>21.0</td>
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<td>49.0</td>
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<td>47.2</td>
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<td>53.2</td>
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<td>48.2</td>
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<td>49.3</td>
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<td>-</td>
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<td>-</td>
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</tr>
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<tr>
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<td>UniNER-type</td>
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<td>LLaMA-1</td>
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<td>7B</td>
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<td>42.4</td>
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<td>31.7</td>
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<td>53.5</td>
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<td>59.4</td>
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<td>65.0</td>
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<td>60.8</td>
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<td>61.1</td>
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<td>34.8</td>
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<td>51.1</td>
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</tr>
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<tr>
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<td>UniNER-def</td>
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<td>LLaMA-1</td>
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<td>7B</td>
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<td>27.1</td>
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<td>27.9</td>
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<td>44.5</td>
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<td>49.2</td>
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<td>55.8</td>
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<td>57.5</td>
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<td>52.9</td>
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<td>33.6</td>
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<td>43.6</td>
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</tr>
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<tr>
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<td>UniNER-type+sup.</td>
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<td>LLaMA-1</td>
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<td>7B</td>
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<td>61.2</td>
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<td>35.2</td>
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<td>62.9</td>
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<td>64.9</td>
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<td>70.6</td>
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<td>66.9</td>
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<td>70.8</td>
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<td>37.8</td>
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<td>58.8</td>
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</tr>
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<tr>
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<td>GoLLIE</td>
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<td>Code-LLaMA</td>
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<td>7B</td>
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<td>63.0</td>
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<td>43.4</td>
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<td>59.1</td>
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<td>62.7</td>
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<td>67.8</td>
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<td>57.2</td>
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<td>55.5</td>
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<td>27.7</td>
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<td>54.6</td>
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</tr>
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<tr>
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<td>GLiNER-L</td>
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<td>DeBERTa-v3</td>
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<td>0.3B</td>
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<td>57.2</td>
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<td>42.9</td>
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<td>57.2</td>
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<td>64.4</td>
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<td>69.6</td>
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<td>72.6</td>
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<td>62.6</td>
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<td>26.6</td>
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<td>56.6</td>
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</tr>
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<tr>
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<td>GNER-T5</td>
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<td>Flan-T5-xxl</td>
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<td>11B</td>
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<td>62.5</td>
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<td>51.0</td>
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<td>68.2</td>
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<td>68.7</td>
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<td>81.2</td>
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<td>75.1</td>
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<td>76.7</td>
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<td style="color: red;">27.9</td>
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<td>63.9</td>
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</tr>
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<tr>
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<td>GNER-LLaMA</td>
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<td>LLaMA-1</td>
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<td>7B</td>
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<td>68.6</td>
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<td>47.5</td>
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<td>63.1</td>
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<td>68.2</td>
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<td>75.7</td>
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<td>69.4</td>
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<td>69.9</td>
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<td style="color: red;">23.6</td>
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<td>60.8</td>
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</tr>
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<tr>
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<td>SLIMER w/o D&G</td>
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<td>LLaMA-2-chat</td>
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<td>7B</td>
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<td>46.4</td>
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<td>36.3</td>
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<td>49.6</td>
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<td>58.4</td>
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<td>56.8</td>
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<td>57.9</td>
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<td>53.8</td>
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<td>40.4</td>
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<td>49.9</td>
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</tr>
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<tr>
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<td><b>SLIMER</b></td>
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<td><b>LLaMA-2-chat</b></td>
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<td><b>7B</b></td>
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<td><b>50.9</b></td>
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<td><b>38.2</b></td>
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<td><b>50.1</b></td>
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<td><b>58.7</b></td>
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<td><b>60.0</b></td>
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<td><b>63.9</b></td>
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<td><b>56.3</b></td>
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<td><b>45.3</b></td>
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<td><b>52.9</b></td>
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</tr>
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</tbody>
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</table>
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```python
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from vllm import LLM, SamplingParams
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</body>
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</html>
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```python
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from vllm import LLM, SamplingParams
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