Update README.md

README.md

@@ -90,20 +90,19 @@ The plot below highlights the alignment comparison of the model trained with Con
 ### Benchmark Results Table
 The table below summarizes the evaluation results across mathematical tasks and original capabilities for various models and training approaches.
 
-| **Model**                | **MathHard** | **Math** | **GSM8K** | **Avg. (Math)** | **ARC** | **GPQA** | **MMLU** | **MMLUP** | **Avg. (Original)** | **Overall Avg.** |
-|--------------------------|--------------|----------|-----------|-----------------|---------|----------|----------|-----------|---------------------|------------------|
-| Llama3.1-8B-Instruct     | 23.7         | 50.9     | 85.6      | 52.1            | 83.4    | 29.9     | 72.4     | 46.7      | 60.5                | 56.3             |
-| OpenMath2-Llama3.1       | 38.4         | 64.1     | 90.3      | 64.3            | 45.8    | 1.3      | 4.5      | 19.5      | 12.9                | 38.6             |
-| **Full Param Tune**       | **38.5**     | **63.7** | 90.2      | **63.9**        | 58.2    | 1.1      | 7.3      | 23.5      | 16.5                | 40.1             |
-| Partial Param Tune       | 36.4         | 61.4     | 89.0      | 61.8            | 66.2    | 6.0      | 25.7     | 30.9      | 29.3                | 45.6             |
-| Stack Expansion          | 35.6         | 61.0     | 90.8      | 61.8            | 69.3    | 18.8     | 61.8     | 43.1      | 53.3                | 57.6             |
-| Hybrid Expansion         | 34.4         | 61.1     | 90.1      | 61.5            | **81.8**| **25.9** | 67.2     | **43.9**  | 57.1                | 59.3             |
-| **Control LLM***          | 38.1         | 62.7     | **90.4**  | 63.2            | 79.7    | 25.2     | **68.1** | 43.6      | **57.2**            | **60.2**         |
+| **Model**                | **MathHard** | **Math** | **GSM8K** | **Math Avg.** | **ARC** | **GPQA** | **MMLU** | **MMLUP** | **Orig. Avg.** | **Overall** |
+|--------------------------|--------------|----------|-----------|---------------|---------|----------|----------|-----------|----------------|-------------|
+| Llama3.1-8B-Instruct     | 23.7         | 50.9     | 85.6      | 52.1          | 83.4    | 29.9     | 72.4     | 46.7      | 60.5           | 56.3        |
+| OpenMath2-Llama3.1       | 38.4         | 64.1     | 90.3      | 64.3          | 45.8    | 1.3      | 4.5      | 19.5      | 12.9           | 38.6        |
+| **Full Param Tune**       | **38.5**     | **63.7** | 90.2      | **63.9**      | 58.2    | 1.1      | 7.3      | 23.5      | 16.5           | 40.1        |
+| Partial Param Tune       | 36.4         | 61.4     | 89.0      | 61.8          | 66.2    | 6.0      | 25.7     | 30.9      | 29.3           | 45.6        |
+| Stack Expansion          | 35.6         | 61.0     | 90.8      | 61.8          | 69.3    | 18.8     | 61.8     | 43.1      | 53.3           | 57.6        |
+| Hybrid Expansion         | 34.4         | 61.1     | 90.1      | 61.5          | **81.8**| **25.9** | 67.2     | **43.9**  | 57.1           | 59.3        |
+| **Control LLM***          | 38.1         | 62.7     | **90.4**  | 63.2          | 79.7    | 25.2     | **68.1** | 43.6      | **57.2**       | **60.2**    |
 
 ---
 
 ### Explanation of Groups
-- **Math Tasks**:
-  - Covers **MathHard**, **Math**, and **GSM8K**, measuring the model's performance on mathematical reasoning and problem-solving tasks.
-- **Original Capabilities**:
-  - Includes **ARC**, **GPQA**, **MMLU**, and **MMLUP**, reflecting the model’s ability to handle general reasoning and knowledge benchmarks.
+- **Math Avg.**: Average performance across MathHard, Math, and GSM8K tasks.
+- **Orig. Avg.**: Average performance across ARC, GPQA, MMLU, and MMLUP tasks.
+- **Overall**: Combined average across all tasks.