Symbolic Regression on LLM-SRBENCH LSR-Transform
0.067NMSEPROAUG
Evaluation Results
| Method | Links | |
|---|---|---|
| PROAUGModel=Deepseek-V3.12026.05 | 0.067 | |
| PROAUG-SFTModel=Qwen3-8B, Training=SFT2026.05 | 0.106 | |
| PROAUG-SFTModel=Qwen3-4B-Instruct-2507, Training=SFT2026.05 | 0.107 | |
| LLM-SR-SFTModel=Qwen3-4B-Instruct-2507, Training=SFT2026.05 | 0.11 | |
| LLM-SR-SFTModel=Qwen3-8B, Training=SFT2026.05 | 0.131 | |
| PROAUGModel=Qwen3-4B-Instruct-25072026.05 | 0.145 | |
| PROAUGModel=Qwen3-8B2026.05 | 0.148 | |
| Statistical HintModel=Deepseek-V3.12026.05 | 0.188 | |
| LLM-SRModel=Qwen3-8B2026.05 | 0.199 | |
| Statistical HintModel=Qwen3-4B-Instruct-25072026.05 | 0.225 | |
| LLM-SRModel=Deepseek-V3.12026.05 | 0.23 | |
| LLM-SRModel=Qwen3-4B-Instruct-25072026.05 | 0.258 | |
| Statistical HintModel=Qwen3-8B2026.05 | 0.279 |