Tabular Data Alignment on Beijing dataset
98.98CDETabGRAA
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TabGRAAvariant=+ Logsigmoid2026.04 | 98.98 | 39.85 | 98.72 | 58.69 | 30.24 | 0.6977 | 0.5832 | |
| TabGRAAvariant=+ Logs. + Grad. diff2026.04 | 98.79 | 39.91 | 98.83 | 59.04 | 31.12 | 0.6971 | 0.5798 | |
| TabDPOvariant=+ Gradient diff.2026.04 | 97.82 | 38.64 | 98.23 | 57.8 | 31.42 | 0.7093 | 0.5927 | |
| TabDPOvariant=+ KL penalty2026.04 | 97.61 | 38.86 | 97.43 | 58.25 | 31.4 | 0.7043 | 0.6085 | |
| TabGRAAvariant=base2026.04 | 97.61 | 40.85 | 99.51 | 59.01 | 31.67 | 0.6942 | 0.574 | |
| TabDPOvariant=base2026.04 | 97.58 | 39.11 | 98.14 | 57.88 | 31.56 | 0.6944 | 0.5961 | |
| GReaT-FT+2026.04 | 93.18 | 40.61 | 94.27 | 55.31 | 30.82 | 0.7695 | 0.6541 | |
| GReaTvariant=Original2026.04 | 92.05 | 40.61 | 96.05 | 57.71 | 30.71 | 0.7798 | 0.6628 | |
| TabKTOvariant=+ Logs. + Grad. diff2026.04 | 91.67 | 38.86 | 98.43 | 58.87 | 29.94 | 0.7506 | 0.6315 | |
| TabNPOvariant=base2026.04 | 91.65 | 39.13 | 98.54 | 59.04 | 29.9 | 0.7504 | 0.6183 | |
| TabKTOvariant=+ Logsigmoid2026.04 | 91.59 | 38.79 | 98.42 | 58.83 | 30.01 | 0.7495 | 0.6428 | |
| TabKTOvariant=base2026.04 | 91.58 | 38.95 | 98.52 | 59.03 | 30.02 | 0.7505 | 0.6379 | |
| TabNPOvariant=+ Gradient diff.2026.04 | 91.41 | 38.7 | 98.43 | 59.09 | 30.2 | 0.7504 | 0.6118 | |
| TabNPOvariant=+ KL penalty2026.04 | 91.3 | 38.98 | 98.38 | 58.35 | 29.99 | 0.7519 | 0.6232 |