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@@ -117,14 +117,14 @@ license: apache-2.0
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  <th style='background-color:#F2F2F2;'>Base Model</th>
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  <th style='background-color:#F2F2F2;'>Model Size</th>
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  <th style='background-color:#F2F2F2;'>Overall</th>
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- <th style='background-color:#F2F2F2;'>Table Understanding and QA</th>
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- <th style='background-color:#F2F2F2;'>Table Transformation and Manipulation</th>
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- <th style='background-color:#F2F2F2;'>Entity and Schema Matching</th>
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- <th style='background-color:#F2F2F2;'>SQL and Table Navigation</th>
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- <th style='background-color:#F2F2F2;'>Semantic Analysis and Relationships</th>
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- <th style='background-color:#F2F2F2;'>Cell and Column Annotation</th>
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- <th style='background-color:#F2F2F2;'>Error Detection</th>
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- <th style='background-color:#F2F2F2;'>Formula Prediction</th>
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  </tr>
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  </thead>
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  <tbody>
@@ -135,168 +135,168 @@ license: apache-2.0
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  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Yukang/Llama-2-7b-longlora-8k">Yukang/Llama-2-7b-longlora-8k</a>
136
  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
137
  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGae76c63851b648439cab3eb14' style=''>0.0
138
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG00e2e6d7000147df97cc77e28' style='text-align: right;vertical-align: bottom;' >0
139
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG67a5d462ce30423c8fb870364' style='text-align: right;vertical-align: bottom;' >0
140
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGbb5cc10122964720bc8da76c5' style='text-align: right;vertical-align: bottom;' >0
141
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG0d0b379bcb6f462185bacedaa' style='text-align: right;vertical-align: bottom;' >0
142
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG750f96b656904402b0685a9dc' style='text-align: right;vertical-align: bottom;' >0
143
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG090381cf461f4ec1be545a3b6' style='text-align: right;vertical-align: bottom;' >0
144
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' >0
145
- <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' >0
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  <br/></td></tr><tr id='temp:C:GJG2c70664766d9435895fb4b802'><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/RUCKBReasoning/TableLLM-7b">TableLLM</a>
147
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/html/2403.19318v1">TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios</a>
148
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG16f50893a8014805a44a1007a' style=''>309K
149
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf">codellama/CodeLlama-7b-Instruct-hf</a>
150
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
151
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGae76c63851b648439cab3eb14' style=''>2.5
152
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#f4fbf8;text-align: right;vertical-align: bottom;' >2.9
153
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG67a5d462ce30423c8fb870364' style='text-align: right;vertical-align: bottom;' >0.1
154
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#e0f3e9;text-align: right;vertical-align: bottom;' >16.6
155
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#f3faf7;text-align: right;vertical-align: bottom;' >2.3
156
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#f9fdfb;text-align: right;vertical-align: bottom;' >1.4
157
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#f0f9f4;text-align: right;vertical-align: bottom;' >2.6
158
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' >0
159
- <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' >0
160
  <br/></td></tr><tr id='temp:C:GJG0e53c4ed694944198613f84c0'><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Multilingual-Multimodal-NLP/TableLLM-Llama3.1-8B">TableBenchLLM-Llama-3.1-8B</a>
161
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2408.09174">TableBench: A Comprehensive and Complex Benchmark for Table Question Answering</a>
162
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG16f50893a8014805a44a1007a' style=''>20K
163
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B">meta-llama/Llama-3.1-8B</a>
164
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
165
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGae76c63851b648439cab3eb14' style=''>3.4
166
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG00e2e6d7000147df97cc77e28' style='text-align: right;vertical-align: bottom;' >0.1
167
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#ebf7f1;text-align: right;vertical-align: bottom;' >3.1
168
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#d3ede0;text-align: right;vertical-align: bottom;' >23.3
169
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#fbfefc;text-align: right;vertical-align: bottom;' >0.8
170
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#f6fcf9;text-align: right;vertical-align: bottom;' >2.1
171
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG090381cf461f4ec1be545a3b6' style='text-align: right;vertical-align: bottom;' >0
172
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' >0
173
- <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' >0
174
  <br/></td></tr><tr id='temp:C:GJG9fd759f704714916869c72b96'><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">Llama-3.1-8B-Instruct</a>
175
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2407.21783">The Llama 3 Herd of Models</a>
176
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
177
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
178
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
179
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGae76c63851b648439cab3eb14' style=''>25.3
180
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#69c397;text-align: right;vertical-align: bottom;' >38.1
181
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#90d2b2;text-align: right;vertical-align: bottom;' >17.1
182
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#7dcba5;text-align: right;vertical-align: bottom;' >67.8
183
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' >26.2
184
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#87cfab;text-align: right;vertical-align: bottom;' >28
185
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#68c296;text-align: right;vertical-align: bottom;' >24.9
186
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#ccebdc;text-align: right;vertical-align: bottom;' >4.5
187
- <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' >0.1
188
  <br/></td></tr><tr id='temp:C:GJGa47d78fca9d44923919996e67'><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-vB">TAMA-vB</a>
189
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
190
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
191
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
192
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
193
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGae76c63851b648439cab3eb14' style=''>21.1
194
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#86ceab;text-align: right;vertical-align: bottom;' >30.9
195
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#9cd7ba;text-align: right;vertical-align: bottom;' >15.2
196
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' >73.7
197
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#b2e0ca;text-align: right;vertical-align: bottom;' >14.3
198
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#a5dbc1;text-align: right;vertical-align: bottom;' >20.9
199
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#8ed1b0;text-align: right;vertical-align: bottom;' >18.7
200
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#bde4d1;text-align: right;vertical-align: bottom;' >5.9
201
- <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' >0.1
202
  <br/></td></tr><tr id='temp:C:GJG49cecd182f02483f9e1a67399'><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-vA">TAMA-vA</a>
203
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
204
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
205
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
206
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
207
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGae76c63851b648439cab3eb14' style=''>16.9
208
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#a6dbc1;text-align: right;vertical-align: bottom;' >22.6
209
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#a7dcc2;text-align: right;vertical-align: bottom;' >13.5
210
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#afdfc7;text-align: right;vertical-align: bottom;' >41.8
211
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#bbe4d0;text-align: right;vertical-align: bottom;' >12.7
212
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#a4dbc0;text-align: right;vertical-align: bottom;' >21.1
213
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#97d5b7;text-align: right;vertical-align: bottom;' >17.1
214
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#b8e3ce;text-align: right;vertical-align: bottom;' >6.3
215
- <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' >0.1
216
  <br/></td></tr><tr id='temp:C:GJGb7a26b478b8a4d66bce379049'><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen2.5-7B</a>
217
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2412.15115">Qwen2.5 Technical Report</a>
218
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
219
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
220
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
221
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGae76c63851b648439cab3eb14' style=''>28.5
222
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#68c296;text-align: right;vertical-align: bottom;' >38.5
223
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#86ceab;text-align: right;vertical-align: bottom;' >18.6
224
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >87.3
225
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#5bbd8d;text-align: right;vertical-align: bottom;' >30.5
226
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#74c79e;text-align: right;vertical-align: bottom;' >32.3
227
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' >23.2
228
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#a6dbc1;text-align: right;vertical-align: bottom;' >7.9
229
- <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG6886327be27f435c846f58863' style='background-color:#abddc5;text-align: right;vertical-align: bottom;' >0.3
230
  <br/></td></tr><tr id='temp:C:GJG601c6f2758b244f1b1c00defc'><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/tablegpt/TableGPT2-7B">TableGPT2-7B</a>
231
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2411.02059">TableGPT2: A Large Multimodal Model with Tabular Data Integration</a>
232
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.36M
233
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
234
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
235
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGae76c63851b648439cab3eb14' style=''>30.0
236
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >42.6
237
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#6ac397;text-align: right;vertical-align: bottom;' >22.9
238
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#5cbd8e;text-align: right;vertical-align: bottom;' >84.9
239
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >31.1
240
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#74c79e;text-align: right;vertical-align: bottom;' >32.4
241
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#69c397;text-align: right;vertical-align: bottom;' >24.7
242
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >14.8
243
- <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG6886327be27f435c846f58863' style='background-color:#abddc5;text-align: right;vertical-align: bottom;' >0.3
244
  <br/></td></tr><tr id='temp:C:GJG2ec77b03a0cc4e77b475b33d2'><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Table-R1/Table-R1-Zero-8B">Table-R1-Zero-8B</a>
245
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/html/2505.23621v1">Table-R1: Inference-Time Scaling for Table Reasoning</a>
246
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG16f50893a8014805a44a1007a' style=''>48.6K
247
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
248
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
249
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGae76c63851b648439cab3eb14' style=''>26.6
250
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#64c193;text-align: right;vertical-align: bottom;' >39.4
251
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#7fcca6;text-align: right;vertical-align: bottom;' >19.6
252
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#80cca7;text-align: right;vertical-align: bottom;' >66
253
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' >26.2
254
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#7ac9a2;text-align: right;vertical-align: bottom;' >31
255
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#62c092;text-align: right;vertical-align: bottom;' >25.9
256
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#d4eee1;text-align: right;vertical-align: bottom;' >3.8
257
- <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG6886327be27f435c846f58863' style='background-color:#c7e9d8;text-align: right;vertical-align: bottom;' >0.2
258
  <br/></td></tr><tr id='temp:C:GJGfed3c3e942e044ad9ee5502f1'><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-QWen2.5">TAMA-QWen2.5</a>
259
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
260
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
261
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
262
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
263
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGae76c63851b648439cab3eb14' style=''>27.6
264
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#70c59b;text-align: right;vertical-align: bottom;' >36.5
265
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#90d2b2;text-align: right;vertical-align: bottom;' >17.1
266
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#58bc8b;text-align: right;vertical-align: bottom;' >86.8
267
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' >29.9
268
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#7acaa3;text-align: right;vertical-align: bottom;' >30.8
269
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#70c59b;text-align: right;vertical-align: bottom;' >23.6
270
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#a0d9bd;text-align: right;vertical-align: bottom;' >8.4
271
- <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG6886327be27f435c846f58863' style='background-color:#c7e9d8;text-align: right;vertical-align: bottom;' >0.2
272
  <br/></td></tr><tr id='temp:C:GJG0085c5b822744c81b434cc6cd'><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">QWen-3-8B</a>
273
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2505.09388">Qwen3 Technical Report</a>
274
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
275
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">Qwen/Qwen3-8B</a>
276
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
277
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGae76c63851b648439cab3eb14' style=''>32.9
278
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#6cc499;text-align: right;vertical-align: bottom;' >37.4
279
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >25.7
280
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#5fbf90;text-align: right;vertical-align: bottom;' >83.2
281
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#63c093;text-align: right;vertical-align: bottom;' >28.9
282
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >38.9
283
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >27.6
284
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' >14.2
285
- <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG6886327be27f435c846f58863' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >0.6
286
  <br/></td></tr><tr id='temp:C:GJG3cb5f57e8e3748a9b13fe5018'><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-QWen3">TAMA-QWen3</a>
287
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
288
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
289
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">Qwen/Qwen3-8B</a>
290
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
291
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGae76c63851b648439cab3eb14' style='' class='bold'> <b>33.9</b>
292
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#69c397;text-align: right;vertical-align: bottom;' >38.2
293
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#5dbe8f;text-align: right;vertical-align: bottom;' >24.8
294
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#60bf90;text-align: right;vertical-align: bottom;' >83
295
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#61bf91;text-align: right;vertical-align: bottom;' >29.3
296
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#5abd8c;text-align: right;vertical-align: bottom;' >38.3
297
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' >26.6
298
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#62c092;text-align: right;vertical-align: bottom;' >13.9
299
- <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG6886327be27f435c846f58863' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' >0.6
300
  <br/></td></tr>
301
  </tbody>
302
  </table>
 
117
  <th style='background-color:#F2F2F2;'>Base Model</th>
118
  <th style='background-color:#F2F2F2;'>Model Size</th>
119
  <th style='background-color:#F2F2F2;'>Overall</th>
120
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Table Understanding and QA</th>
121
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Table Transformation and Manipulation</th>
122
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Entity and Schema Matching</th>
123
+ <th class="extra-columns" style='background-color:#F2F2F2;'>SQL and Table Navigation</th>
124
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Semantic Analysis and Relationships</th>
125
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Cell and Column Annotation</th>
126
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Error Detection</th>
127
+ <th class="extra-columns" style='background-color:#F2F2F2;'>Formula Prediction</th>
128
  </tr>
129
  </thead>
130
  <tbody>
 
135
  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Yukang/Llama-2-7b-longlora-8k">Yukang/Llama-2-7b-longlora-8k</a>
136
  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
137
  <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGae76c63851b648439cab3eb14' style=''>0.0
138
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG00e2e6d7000147df97cc77e28' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
139
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG67a5d462ce30423c8fb870364' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
140
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGbb5cc10122964720bc8da76c5' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
141
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG0d0b379bcb6f462185bacedaa' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
142
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG750f96b656904402b0685a9dc' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
143
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG090381cf461f4ec1be545a3b6' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
144
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
145
+ <br/></td><td id='temp:s:temp:C:GJGd7a80489248c47eaae55f0e7a;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
146
  <br/></td></tr><tr id='temp:C:GJG2c70664766d9435895fb4b802'><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/RUCKBReasoning/TableLLM-7b">TableLLM</a>
147
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/html/2403.19318v1">TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios</a>
148
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG16f50893a8014805a44a1007a' style=''>309K
149
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf">codellama/CodeLlama-7b-Instruct-hf</a>
150
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
151
  <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGae76c63851b648439cab3eb14' style=''>2.5
152
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#f4fbf8;text-align: right;vertical-align: bottom;' class="extra-columns">2.9
153
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG67a5d462ce30423c8fb870364' style='text-align: right;vertical-align: bottom;' class="extra-columns">0.1
154
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#e0f3e9;text-align: right;vertical-align: bottom;' class="extra-columns">16.6
155
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#f3faf7;text-align: right;vertical-align: bottom;' class="extra-columns">2.3
156
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#f9fdfb;text-align: right;vertical-align: bottom;' class="extra-columns">1.4
157
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#f0f9f4;text-align: right;vertical-align: bottom;' class="extra-columns">2.6
158
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
159
+ <br/></td><td id='temp:s:temp:C:GJG2c70664766d9435895fb4b802;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
160
  <br/></td></tr><tr id='temp:C:GJG0e53c4ed694944198613f84c0'><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Multilingual-Multimodal-NLP/TableLLM-Llama3.1-8B">TableBenchLLM-Llama-3.1-8B</a>
161
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2408.09174">TableBench: A Comprehensive and Complex Benchmark for Table Question Answering</a>
162
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG16f50893a8014805a44a1007a' style=''>20K
163
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B">meta-llama/Llama-3.1-8B</a>
164
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
165
  <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGae76c63851b648439cab3eb14' style=''>3.4
166
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG00e2e6d7000147df97cc77e28' style='text-align: right;vertical-align: bottom;' class="extra-columns">0.1
167
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#ebf7f1;text-align: right;vertical-align: bottom;' class="extra-columns">3.1
168
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#d3ede0;text-align: right;vertical-align: bottom;' class="extra-columns">23.3
169
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#fbfefc;text-align: right;vertical-align: bottom;' class="extra-columns">0.8
170
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#f6fcf9;text-align: right;vertical-align: bottom;' class="extra-columns">2.1
171
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG090381cf461f4ec1be545a3b6' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
172
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJGdbb0b3f228a24416873a958a9' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
173
+ <br/></td><td id='temp:s:temp:C:GJG0e53c4ed694944198613f84c0;temp:C:GJG6886327be27f435c846f58863' style='text-align: right;vertical-align: bottom;' class="extra-columns">0
174
  <br/></td></tr><tr id='temp:C:GJG9fd759f704714916869c72b96'><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">Llama-3.1-8B-Instruct</a>
175
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2407.21783">The Llama 3 Herd of Models</a>
176
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
177
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
178
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
179
  <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGae76c63851b648439cab3eb14' style=''>25.3
180
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#69c397;text-align: right;vertical-align: bottom;' class="extra-columns">38.1
181
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#90d2b2;text-align: right;vertical-align: bottom;' class="extra-columns">17.1
182
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#7dcba5;text-align: right;vertical-align: bottom;' class="extra-columns">67.8
183
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' class="extra-columns">26.2
184
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#87cfab;text-align: right;vertical-align: bottom;' class="extra-columns">28
185
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#68c296;text-align: right;vertical-align: bottom;' class="extra-columns">24.9
186
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#ccebdc;text-align: right;vertical-align: bottom;' class="extra-columns">4.5
187
+ <br/></td><td id='temp:s:temp:C:GJG9fd759f704714916869c72b96;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' class="extra-columns">0.1
188
  <br/></td></tr><tr id='temp:C:GJGa47d78fca9d44923919996e67'><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-vB">TAMA-vB</a>
189
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
190
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
191
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
192
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
193
  <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGae76c63851b648439cab3eb14' style=''>21.1
194
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#86ceab;text-align: right;vertical-align: bottom;' class="extra-columns">30.9
195
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#9cd7ba;text-align: right;vertical-align: bottom;' class="extra-columns">15.2
196
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' class="extra-columns">73.7
197
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#b2e0ca;text-align: right;vertical-align: bottom;' class="extra-columns">14.3
198
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#a5dbc1;text-align: right;vertical-align: bottom;' class="extra-columns">20.9
199
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#8ed1b0;text-align: right;vertical-align: bottom;' class="extra-columns">18.7
200
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#bde4d1;text-align: right;vertical-align: bottom;' class="extra-columns">5.9
201
+ <br/></td><td id='temp:s:temp:C:GJGa47d78fca9d44923919996e67;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' class="extra-columns">0.1
202
  <br/></td></tr><tr id='temp:C:GJG49cecd182f02483f9e1a67399'><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-vA">TAMA-vA</a>
203
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
204
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
205
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
206
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
207
  <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGae76c63851b648439cab3eb14' style=''>16.9
208
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#a6dbc1;text-align: right;vertical-align: bottom;' class="extra-columns">22.6
209
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#a7dcc2;text-align: right;vertical-align: bottom;' class="extra-columns">13.5
210
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#afdfc7;text-align: right;vertical-align: bottom;' class="extra-columns">41.8
211
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#bbe4d0;text-align: right;vertical-align: bottom;' class="extra-columns">12.7
212
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#a4dbc0;text-align: right;vertical-align: bottom;' class="extra-columns">21.1
213
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#97d5b7;text-align: right;vertical-align: bottom;' class="extra-columns">17.1
214
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#b8e3ce;text-align: right;vertical-align: bottom;' class="extra-columns">6.3
215
+ <br/></td><td id='temp:s:temp:C:GJG49cecd182f02483f9e1a67399;temp:C:GJG6886327be27f435c846f58863' style='background-color:#e3f4ec;text-align: right;vertical-align: bottom;' class="extra-columns">0.1
216
  <br/></td></tr><tr id='temp:C:GJGb7a26b478b8a4d66bce379049'><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen2.5-7B</a>
217
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2412.15115">Qwen2.5 Technical Report</a>
218
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
219
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
220
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
221
  <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGae76c63851b648439cab3eb14' style=''>28.5
222
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#68c296;text-align: right;vertical-align: bottom;' class="extra-columns">38.5
223
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#86ceab;text-align: right;vertical-align: bottom;' class="extra-columns">18.6
224
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">87.3
225
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#5bbd8d;text-align: right;vertical-align: bottom;' class="extra-columns">30.5
226
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#74c79e;text-align: right;vertical-align: bottom;' class="extra-columns">32.3
227
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' class="extra-columns">23.2
228
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#a6dbc1;text-align: right;vertical-align: bottom;' class="extra-columns">7.9
229
+ <br/></td><td id='temp:s:temp:C:GJGb7a26b478b8a4d66bce379049;temp:C:GJG6886327be27f435c846f58863' style='background-color:#abddc5;text-align: right;vertical-align: bottom;' class="extra-columns">0.3
230
  <br/></td></tr><tr id='temp:C:GJG601c6f2758b244f1b1c00defc'><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/tablegpt/TableGPT2-7B">TableGPT2-7B</a>
231
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2411.02059">TableGPT2: A Large Multimodal Model with Tabular Data Integration</a>
232
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.36M
233
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
234
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
235
  <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGae76c63851b648439cab3eb14' style=''>30.0
236
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">42.6
237
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#6ac397;text-align: right;vertical-align: bottom;' class="extra-columns">22.9
238
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#5cbd8e;text-align: right;vertical-align: bottom;' class="extra-columns">84.9
239
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">31.1
240
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#74c79e;text-align: right;vertical-align: bottom;' class="extra-columns">32.4
241
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#69c397;text-align: right;vertical-align: bottom;' class="extra-columns">24.7
242
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">14.8
243
+ <br/></td><td id='temp:s:temp:C:GJG601c6f2758b244f1b1c00defc;temp:C:GJG6886327be27f435c846f58863' style='background-color:#abddc5;text-align: right;vertical-align: bottom;' class="extra-columns">0.3
244
  <br/></td></tr><tr id='temp:C:GJG2ec77b03a0cc4e77b475b33d2'><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Table-R1/Table-R1-Zero-8B">Table-R1-Zero-8B</a>
245
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/html/2505.23621v1">Table-R1: Inference-Time Scaling for Table Reasoning</a>
246
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG16f50893a8014805a44a1007a' style=''>48.6K
247
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct">meta-llama/Llama-3.1-8B-Instruct</a>
248
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
249
  <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGae76c63851b648439cab3eb14' style=''>26.6
250
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#64c193;text-align: right;vertical-align: bottom;' class="extra-columns">39.4
251
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#7fcca6;text-align: right;vertical-align: bottom;' class="extra-columns">19.6
252
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#80cca7;text-align: right;vertical-align: bottom;' class="extra-columns">66
253
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#72c69d;text-align: right;vertical-align: bottom;' class="extra-columns">26.2
254
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#7ac9a2;text-align: right;vertical-align: bottom;' class="extra-columns">31
255
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#62c092;text-align: right;vertical-align: bottom;' class="extra-columns">25.9
256
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#d4eee1;text-align: right;vertical-align: bottom;' class="extra-columns">3.8
257
+ <br/></td><td id='temp:s:temp:C:GJG2ec77b03a0cc4e77b475b33d2;temp:C:GJG6886327be27f435c846f58863' style='background-color:#c7e9d8;text-align: right;vertical-align: bottom;' class="extra-columns">0.2
258
  <br/></td></tr><tr id='temp:C:GJGfed3c3e942e044ad9ee5502f1'><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-QWen2.5">TAMA-QWen2.5</a>
259
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
260
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
261
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct">Qwen/Qwen2.5-7B-Instruct</a>
262
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>7B
263
  <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGae76c63851b648439cab3eb14' style=''>27.6
264
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#70c59b;text-align: right;vertical-align: bottom;' class="extra-columns">36.5
265
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#90d2b2;text-align: right;vertical-align: bottom;' class="extra-columns">17.1
266
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#58bc8b;text-align: right;vertical-align: bottom;' class="extra-columns">86.8
267
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' class="extra-columns">29.9
268
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#7acaa3;text-align: right;vertical-align: bottom;' class="extra-columns">30.8
269
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#70c59b;text-align: right;vertical-align: bottom;' class="extra-columns">23.6
270
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#a0d9bd;text-align: right;vertical-align: bottom;' class="extra-columns">8.4
271
+ <br/></td><td id='temp:s:temp:C:GJGfed3c3e942e044ad9ee5502f1;temp:C:GJG6886327be27f435c846f58863' style='background-color:#c7e9d8;text-align: right;vertical-align: bottom;' class="extra-columns">0.2
272
  <br/></td></tr><tr id='temp:C:GJG0085c5b822744c81b434cc6cd'><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">QWen-3-8B</a>
273
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/abs/2505.09388">Qwen3 Technical Report</a>
274
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG16f50893a8014805a44a1007a' style=''>-
275
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">Qwen/Qwen3-8B</a>
276
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
277
  <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGae76c63851b648439cab3eb14' style=''>32.9
278
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#6cc499;text-align: right;vertical-align: bottom;' class="extra-columns">37.4
279
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">25.7
280
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#5fbf90;text-align: right;vertical-align: bottom;' class="extra-columns">83.2
281
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#63c093;text-align: right;vertical-align: bottom;' class="extra-columns">28.9
282
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">38.9
283
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">27.6
284
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' class="extra-columns">14.2
285
+ <br/></td><td id='temp:s:temp:C:GJG0085c5b822744c81b434cc6cd;temp:C:GJG6886327be27f435c846f58863' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">0.6
286
  <br/></td></tr><tr id='temp:C:GJG3cb5f57e8e3748a9b13fe5018'><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG35c2ff53e6ca4ff6a432d6e10' style=''><a href="https://huggingface.co/MichiganNLP/TAMA-QWen3">TAMA-QWen3</a>
287
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG8f95d72be7214550b9aebfb0a' style=''><a href="https://arxiv.org/pdf/2501.14693">Rethinking Table Instruction Tuning</a>
288
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG16f50893a8014805a44a1007a' style=''>2.6K
289
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG774257f6b0044ad6b08086ba5' style=''><a href="https://huggingface.co/Qwen/Qwen3-8B">Qwen/Qwen3-8B</a>
290
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG814aa5d1c1c64eb2968e7a007' style=''>8B
291
  <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGae76c63851b648439cab3eb14' style='' class='bold'> <b>33.9</b>
292
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG00e2e6d7000147df97cc77e28' style='background-color:#69c397;text-align: right;vertical-align: bottom;' class="extra-columns">38.2
293
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG67a5d462ce30423c8fb870364' style='background-color:#5dbe8f;text-align: right;vertical-align: bottom;' class="extra-columns">24.8
294
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGbb5cc10122964720bc8da76c5' style='background-color:#60bf90;text-align: right;vertical-align: bottom;' class="extra-columns">83
295
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG0d0b379bcb6f462185bacedaa' style='background-color:#61bf91;text-align: right;vertical-align: bottom;' class="extra-columns">29.3
296
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG750f96b656904402b0685a9dc' style='background-color:#5abd8c;text-align: right;vertical-align: bottom;' class="extra-columns">38.3
297
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG090381cf461f4ec1be545a3b6' style='background-color:#5ebe8f;text-align: right;vertical-align: bottom;' class="extra-columns">26.6
298
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJGdbb0b3f228a24416873a958a9' style='background-color:#62c092;text-align: right;vertical-align: bottom;' class="extra-columns">13.9
299
+ <br/></td><td id='temp:s:temp:C:GJG3cb5f57e8e3748a9b13fe5018;temp:C:GJG6886327be27f435c846f58863' style='background-color:#57bb8a;text-align: right;vertical-align: bottom;' class="extra-columns">0.6
300
  <br/></td></tr>
301
  </tbody>
302
  </table>