Symbolic Regression on E. coli growth LLM-SR Suite
0.0012NMSEPG-SR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PG-SRBackbone=Llama-3.3-70B2026.02 | 0.0012 | — | |
| PG-SRBackbone=GPT-4o-mini2026.02 | 0.0013 | — | |
| PG-SRBackbone=GPT-4o-mini2026.02 | 0.0016 | — | |
| PG-SRBackbone=Llama-3.3-70B2026.02 | 0.0034 | — | |
| LLM-SRBackbone=Llama-3.3-70B2026.02 | 0.0046 | — | |
| LaSRBackbone=GPT-4o-mini2026.02 | 0.0085 | — | |
| PiT-POBackbone=Llama-3.1-8B2026.02 | 0.009 | 10.42 | |
| LLM-SRBackbone=GPT-4o-mini2026.02 | 0.0093 | — | |
| LLM-SRBackbone=GPT-4o-mini2026.02 | 0.0122 | — | |
| LaSRBackbone=Llama-3.3-70B2026.02 | 0.0181 | — | |
| DrSRBackbone=Llama-3.3-70B2026.02 | 0.0192 | — | |
| LLM-SRBackbone=Llama-3.3-70B2026.02 | 0.0219 | — | |
| LaSRBackbone=Llama-3.3-70B2026.02 | 0.0224 | — | |
| PiT-POBackbone=Llama-3.2-1B2026.02 | 0.024 | 4.76 | |
| PiT-POBackbone=Llama-3.2-3B2026.02 | 0.0248 | 7.01 | |
| DrSRBackbone=Llama-3.3-70B2026.02 | 0.0277 | — | |
| LLM-SRBackbone=4o-mini2026.02 | 0.0453 | 5.52 | |
| LLM-SRBackbone=Llama-3.1-8B2026.02 | 0.0555 | 4.86 | |
| LLM-SRBackbone=Mixtral 8x7B2026.02 | 0.0596 | 2.88 | |
| DrSRBackbone=GPT-4o-mini2026.02 | 0.0949 | — | |
| LaSRBackbone=GPT-4o-mini2026.02 | 0.1 | — | |
| PySR2026.02 | 0.151 | — | |
| DSR2026.02 | 0.182 | — | |
| PhyE2E2026.02 | 0.214 | — | |
| DrSRBackbone=GPT-4o-mini2026.02 | 0.223 | — | |
| RAG-SR2026.02 | 0.2754 | 2.04 | |
| DSR2026.02 | 0.328 | — | |
| LLM-SRBackbone=Llama-3.2-3B2026.02 | 0.3671 | 1.08 | |
| GP-GOMEA2026.02 | 0.368 | — | |
| PySR2026.02 | 0.4068 | 2.8 | |
| Operon2026.02 | 0.452 | — | |
| uDSR2026.02 | 0.5059 | 1.12 | |
| uDSR2026.02 | 0.51 | — | |
| PhyE2E2026.02 | 0.533 | — | |
| LLM-SRBackbone=Llama-3.2-1B2026.02 | 0.5801 | 1.7 | |
| PySR2026.02 | 0.71 | — | |
| E2E2026.02 | 0.832 | — | |
| E2E2026.02 | 0.891 | — | |
| Operon2026.02 | 0.998 | — | |
| GPlern2026.02 | 1.0023 | 0.76 | |
| GPLearn2026.02 | 1.03 | — | |
| GPLearn2026.02 | 1.07 | — | |
| uDSR2026.02 | 2.02 | — | |
| GP-GOMEA2026.02 | 45.1 | — |