Mathematical Reasoning on MATH (test) (Accuracy)
84.27MATH AccuracyFAA
Evaluation Results
| Method | Links | |
|---|---|---|
| FAABackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.63M2025.12 | 84.27 | |
| FourierFTBackbone Model=Deepseek R1-1.5B, Trainable Parameters=0.15M2025.12 | 84.23 | |
| FFBackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.5B2025.12 | 84.21 | |
| AdapterHBackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.63M2025.12 | 84.17 | |
| LoRABackbone Model=Deepseek R1-1.5B, Trainable Parameters=1.21M2025.12 | 84.16 | |
| FAABackbone Model=Qwen2 7B, Trainable Parameters=7.30M2025.12 | 64.18 | |
| FourierFTBackbone Model=Qwen2 7B, Trainable Parameters=0.85M2025.12 | 64.12 | |
| LoRABackbone Model=Qwen2 7B, Trainable Parameters=5.40M2025.12 | 64.12 | |
| FFBackbone Model=Qwen2 7B, Trainable Parameters=7.07B2025.12 | 64.11 | |
| AdapterHBackbone Model=Qwen2 7B, Trainable Parameters=7.29M2025.12 | 64.07 | |
| FAABackbone Model=LLaMA3 8B, Trainable Parameters=8.73M2025.12 | 46.68 | |
| FFBackbone Model=LLaMA3 8B, Trainable Parameters=8.03B2025.12 | 46.61 | |
| FourierFTBackbone Model=LLaMA3 8B, Trainable Parameters=0.91M2025.12 | 46.57 | |
| LoRABackbone Model=LLaMA3 8B, Trainable Parameters=6.47M2025.12 | 46.53 | |
| AdapterHBackbone Model=LLaMA3 8B, Trainable Parameters=8.73M2025.12 | 46.52 | |
| FourierFTBackbone Model=LLaMA2 7B, Trainable Parameters=0.82M2025.12 | 33.25 | |
| FAABackbone Model=LLaMA2 7B, Trainable Parameters=7.27M2025.12 | 33.24 | |
| LoRABackbone Model=LLaMA2 7B, Trainable Parameters=5.37M2025.12 | 33.22 | |
| FFBackbone Model=LLaMA2 7B, Trainable Parameters=6.94B2025.12 | 33.21 | |
| AdapterHBackbone Model=LLaMA2 7B, Trainable Parameters=7.27M2025.12 | 33.19 |