Binary Classification on Room Occupancy
1AUCLoID
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LoIDmode=our method, backbone=Gemma-2-27B, alpha=0.2, gamma=2, N_sent=102026.01 | 1 | 78 | |
| Capmode=oracle-style upper bound2026.01 | 1 | — | |
| OOD-LRdescription=logistic regression trained on an OOD training set2026.01 | 0.98 | — | |
| AutoElicitmode=baseline2026.01 | 0.97 | — | |
| LLMProcmode=baseline2026.01 | 0.8 | — |