Symbolic Regression on Stress-Strain LLM-SR Suite
85.33Acc avg (tol 0.1)LLM-SR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LLM-SRBackbone=4o-mini2026.02 | 85.33 | 0.0245 | |
| PiT-POBackbone=Llama-3.2-3B2026.02 | 84.54 | 0.0156 | |
| PiT-POBackbone=Llama-3.1-8B2026.02 | 84.45 | 0.0136 | |
| LLM-SRBackbone=Llama-3.1-8B2026.02 | 77.74 | 0.0246 | |
| PiT-POBackbone=Llama-3.2-1B2026.02 | 76.91 | 0.1767 | |
| RAG-SR2026.02 | 76.28 | 0.0282 | |
| LLM-SRBackbone=Llama-3.2-3B2026.02 | 74.78 | 0.0324 | |
| LLM-SRBackbone=Mixtral 8x7B2026.02 | 71.44 | 0.0276 | |
| PySR2026.02 | 70.6 | 0.0347 | |
| uDSR2026.02 | 59.15 | 0.0639 | |
| LLM-SRBackbone=Llama-3.2-1B2026.02 | 30.35 | 0.3801 | |
| GPlern2026.02 | 28.43 | 0.3496 |