Update README.md

README.md

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 # 📃Evaluation
 
-LUFFY is evaluated on six competition-level benchmarks, achieving state-of-the-art results among all zero-RL methods. It surpasses both on-policy RL and imitation learning (SFT), especially in generalization:
-
-## LUFFY on Qwen2.5-Instruct-7B 
 | **Model**                          | **AIME 2024** | **AIME 2025** | **AMC** | **MATH-500** | **Minerva** | **Olympiad** | **Avg.** |
 |-----------------------------------|-------------|-------------|---------|---------------|-------------|---------------|----------|
 | Qwen2.5-7B-Instruct           | 11.9 | 7.6 | 44.1 | 74.6 | 30.5 | 39.7 | 34.7 |