Update README.md

README.md

@@ -88,29 +88,29 @@ The plot below highlights the alignment comparison of the model trained with Con
 ![Alignment Comparison](plots/alignment_comparison.png)
 
 ### Benchmark Results Table
-The table below summarizes the evaluation results across mathematical tasks and original capabilities.
+The table below summarizes evaluation results across mathematical tasks and original capabilities.
 
-| **Model**         | **MH** | **M** | **GSM8K** | **Math Avg.** | **ARC** | **GPQA** | **MMLU** | **MMLUP** | **Orig. Avg.** | **Overall** |
-|-------------------|-----------|----------|-----------|---------------|---------|----------|----------|-----------|----------------|-------------|
-| Llama3.1-8B-Inst  | 23.7      | 50.9     | 85.6      | 52.1          | 83.4    | 29.9     | 72.4     | 46.7      | 60.5           | 56.3        |
-| OpenMath2-Llama3  | 38.4      | 64.1     | 90.3      | 64.3          | 45.8    | 1.3      | 4.5      | 19.5      | 12.9           | 38.6        |
-| **Full Tune**      | **38.5**  | **63.7** | 90.2      | **63.9**      | 58.2    | 1.1      | 7.3      | 23.5      | 16.5           | 40.1        |
-| Partial Tune      | 36.4      | 61.4     | 89.0      | 61.8          | 66.2    | 6.0      | 25.7     | 30.9      | 29.3           | 45.6        |
-| Stack Exp.   | 35.6      | 61.0     | 90.8      | 61.8          | 69.3    | 18.8     | 61.8     | 43.1      | 53.3           | 57.6        |
-| Hybrid Exp.n  | 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**         | **MH** | **M**  | **G8K** | **M-Avg** | **ARC** | **GPQA** | **MLU** | **MLUP** | **O-Avg** | **Overall** |
+|-------------------|--------|--------|---------|-----------|---------|----------|---------|----------|-----------|-------------|
+| Llama3.1-8B-Inst  | 23.7   | 50.9   | 85.6    | 52.1      | 83.4    | 29.9     | 72.4    | 46.7     | 60.5      | 56.3        |
+| OpenMath2-Llama3  | 38.4   | 64.1   | 90.3    | 64.3      | 45.8    | 1.3      | 4.5     | 19.5     | 12.9      | 38.6        |
+| **Full Tune**      | **38.5**| **63.7**| 90.2    | **63.9**  | 58.2    | 1.1      | 7.3     | 23.5     | 16.5      | 40.1        |
+| Partial Tune      | 36.4   | 61.4   | 89.0    | 61.8      | 66.2    | 6.0      | 25.7    | 30.9     | 29.3      | 45.6        |
+| Stack Exp.        | 35.6   | 61.0   | 90.8    | 61.8      | 69.3    | 18.8     | 61.8    | 43.1     | 53.3      | 57.6        |
+| Hybrid Exp.       | 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 Metrics
+### Explanation:
 - **MH**: MathHard
-- **M**: Math - General math reasoning
-- **GSM8K**: Grade-school math
-- **Math Avg.**: Average performance across Math Hard, Math, and GSM8K
-- **ARC**: AI reasoning challenge
-- **GPQA**: General knowledge question answering
-- **MMLU**: Massive Multitask Language Understanding
-- **MMLUP**: MMLU (Professional subset)
-- **Orig. Avg.**: Average original capabilities' performance across ARC, GPQA, MMLU, and MMLU Pro
+- **M**: Math
+- **G8K**: GSM8K
+- **M-Avg**: Math - Average across MathHard, Math, and GSM8K
+- **ARC**: ARC benchmark
+- **GPQA**: General knowledge QA
+- **MLU**: MMLU (Massive Multitask Language Understanding)
+- **MLUP**: MMLU Pro
+- **O-Avg**: Orginal Capability - Average across ARC, GPQA, MMLU, and MMLUP
 - **Overall**: Combined average across all tasks