Update README.md

README.md

@@ -78,7 +78,7 @@ The training data has a cutoff of October 2024.
 
 Evaluation has shown that TableGPT2-7B performs consistently well across benchmarks for tabular comprehension, code generation, and structured data reasoning, achieving a **35.20%** performance increase over comparable models on standard benchmarks and **49.32%** on BI-focused assessments. The RealTabBench benchmark further demonstrated the model’s robustness in handling unconventional tables and complex queries. Below, we present the results on public table-related benchmarks.
 
-| **Benchmark**                 | **Metric** | GPT-4o | TableLLM (Qwen2) | TableLLM (CodeQwen) | TableLLM (LLaMA3) | TableLLM (LLaMA3.1) | TableLLM (DeepSeek) | TableLLM-13B | DeepSeek-lite | Yi-Coder | Qwen2.5-Coder | Qwen2.5-Instruct | **\TableGPT2-7B** | **\TableGPT2-72B** |
+| **Benchmark**                 | **Metric** | GPT-4o | TableLLM (Qwen2) | TableLLM (CodeQwen) | TableLLM (LLaMA3) | TableLLM (LLaMA3.1) | TableLLM (DeepSeek) | TableLLM-13B | DeepSeek-lite | Yi-Coder | Qwen2.5-Coder | Qwen2.5-Instruct | **TableGPT2-7B** | **TableGPT2-72B** |
 | ----------------------------- | ---------- | ------ | ---------------- | ------------------- | ----------------- | ------------------- | ------------------- | ------------ | ------------- | -------- | ------------- | ---------------- | -------------- | --------------- |
 | **Table Understanding**       |            |        |                  |                     |                   |                     |                     |              |               |          |               |                  |                |                 |
 | Col Type Annot.               | F1         | 31.75  | 10.10            | 5.71                | 1.47              | 1.59                | 6.04                | 12.70        | 20.58         | 5.38     | 32.59         | 22.19            | **85.88**      | 85.67           |