Human mobility prediction on YJMob100K HuMob Challenge 2023
35.4GEO-BLEUMoBERTs3/F/M/E
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MoBERTs3/F/M/Esemantics (k)=3, feature interaction module=enabled, multi-task learning=enabled, entropy-driven curriculum learning=enabled2025.09 | 35.4 | 26.15 | |
| LP-BERTrank=1st2025.09 | 34.4 | 29.96 | |
| MoBERTs3/F/Msemantics (k)=3, feature interaction module=enabled, multi-task learning=enabled2025.09 | 33.5 | 28.16 | |
| MOBBrank=3rd2025.09 | 32.7 | 38.65 | |
| GeoFormerrank=2nd2025.09 | 31.6 | 26.22 | |
| MoBERTs3/Fsemantics (k)=3, feature interaction module=enabled2025.09 | 30.7 | 28.93 | |
| MoBERTs3semantics (k)=32025.09 | 28.7 | 29.11 | |
| MoBERTs7semantics (k)=72025.09 | 28.4 | 28.98 | |
| MoBERTarchitecture=baseline2025.09 | 26.4 | 30.06 |