metadata
license: mit
language:
- en
base_model:
- FacebookAI/roberta-base
pipeline_tag: feature-extraction
Consider this to be an alpha version of the LUSR model.
This checkpoint outperforms LUAR in machine-text detection and a task probes for stylistic features (mSTEL).
Contrastive Probing for Stylistic Features
| Model Name | Accuracy |
|---|---|
| LUAR-MUD | 3 |
| AnnaWegmann/Style-Embedding | 22.4 |
| LUSR | 22.2 |
Few-Shot Machine-text Detection, Query Size = 1
| Model Name | pAUC(0.01) N=1 | N=2 | N=5 |
|---|---|---|---|
| Support Size | N=1 | N=2 | N=5 |
| LUAR-MUD | 0.63 | 0.74 | 0.89 |
| Anna Wegmann | 0.58 | 0.69 | 0.84 |
| LUSR | 0.70 | 0.83 | 0.97 |