| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Symbolic Regression | Feynman benchmark | Median Final Training Loss1 | 60 | |
| Function fitting | Feynman | Loss1 | 60 | |
| Symbolic Regression | Feynman Dataset epsilon=0.1 (test) | R2 Score0.9957 | 20 | |
| Symbolic Regression | Feynman Dataset epsilon=0.001 (test) | R299.62 | 20 | |
| Symbolic Regression | Feynman Problem III.17.37 | Mean R21 | 15 | |
| Symbolic Regression | Feynman Problem III.15.14 | Mean R21 | 15 | |
| Symbolic Regression | Feynman Problem III.10.19 | R2 (mean)1 | 15 | |
| Symbolic Regression | Feynman Problem III.4.33 | Mean R21 | 15 | |
| Symbolic Regression | Feynman Problem II.38.14 | Mean R2 Score1 | 15 | |
| Symbolic Regression | Feynman Problem II.34.29a | Mean R2100 | 15 | |
| Symbolic Regression | Feynman II 4 23 | Median Program Size76 | 6 | |
| Symbolic Regression | Feynman | R2 Score0.9946 | 5 | |
| Symbolic Regression | Feynman Test 4 (test) | Median RMSE0.2211 | 5 | |
| Symbolic Regression | Feynman 3 (test) | Median RMSE0.1776 | 5 | |
| Symbolic Regression | Feynman III 14 14 (test) | Median RMSE0.4377 | 5 | |
| Symbolic Regression | Feynman II 4 23 (test) | Median RMSE0.2836 | 5 | |
| Symbolic Regression | Feynman II 38 3 (test) | Median RMSE0.3141 | 5 | |
| Symbolic Regression | Feynman II 34 2 (test) | Median RMSE0.0881 | 5 | |
| Symbolic Regression | Feynman I 43 43 (test) | Median RMSE0.3703 | 5 | |
| Symbolic Regression | Feynman I 29 4 (test) | Median RMSE0.2843 | 5 | |
| Symbolic Regression | Feynman I 25 13 (test) | Median RMSE0.1891 | 5 | |
| Symbolic Regression | Feynman I 24 6 (test) | Median RMSE0.1617 | 5 | |
| Symbolic Regression | Feynman I 18 4 (test) | Median RMSE0.1679 | 5 | |
| Symbolic Regression | Feynman–synthetic Hard tier (test) | R^22.3784 | 5 | |
| Symbolic Regression | Feynman real-world (Hard) | R^23.69 | 5 |