Symbolic Regression on LLM-SRBENCH LSR-Syn
0Chemistry ErrorLLM-SR
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LLM-SRModel=Qwen3-4B-Instruct-25072026.05 | 0 | 2.48 | 0.048 | 0 | 0.48 | |
| PROAUGModel=Deepseek-V3.12026.05 | 0 | 0.094 | 0.058 | 0 | 0.036 | |
| PROAUGModel=Qwen3-8B2026.05 | 0.0031 | 0.0011 | 0.021 | 0 | 0.0078 | |
| Statistical HintModel=Qwen3-8B2026.05 | 0.0041 | 0.019 | 0.019 | 0.034 | 0.017 | |
| PROAUGModel=Qwen3-4B-Instruct-25072026.05 | 0.0047 | 0.036 | 0.06 | 0 | 0.027 | |
| LLM-SRModel=Qwen3-8B2026.05 | 0.012 | 0.041 | 0.077 | 0.0002 | 0.036 | |
| Statistical HintModel=Deepseek-V3.12026.05 | 0.022 | 1.112 | 0.034 | 0.333 | 0.288 | |
| Statistical HintModel=Qwen3-4B-Instruct-25072026.05 | 0.032 | 0.095 | 0.22 | 0.012 | 0.099 | |
| LLM-SRModel=Deepseek-V3.12026.05 | 0.08 | 0.06 | 0.11 | 0 | 0.071 |