---
license: mit
pretty_name: ALIEN data and results
---

# ALIEN — data and results

Data, model adapters and experiment outputs for *ALIEN: Aligned Entropy Head for Improving Uncertainty
Estimation of LLMs* (submitted results + revision experiments). Code: the ALIEN repository,
`revision/` folder.

## Layout

| folder | content |
|---|---|
| `results/` | Published runs used for the paper tables: `results_on_embeddings/grid_*` (ALIEN, its variants and ablations; `best_run.pickle` = test scores + `metric_df` with the selected hyper-parameters), `baseline_results_on_embeddings_rde/` (MD, RMD, MDM, RDE), `probes_ds_with_lr_hyper/` (linear / attention-pooling probes), full-fine-tuning and prompted-LLM blocks |
| `data/embeddings/` | Pooled train/val/test features, logits, targets and the classification head per task model: `<model>_results_ds_<seed>_train_gird_full/LoraConfig_<dataset>_state.pickle` |
| `data/models/` | LoRA adapters of the task models: `<model>_runs_seeds/<Dataset>/<seed>/` |
| `revision_runs/heldout/head_seeds/` | Base model seed 0: ALIEN, ConfidNet, last-layer linear probe re-trained with up to 20 head seeds (hyper-parameters fixed per model × dataset) |
| `revision_runs/heldout/head_seeds_base{1..4}/` | Same for base model seeds 1–4 (5 head seeds); `*_own_hp/` = runs with each base seed's own hyper-parameters |
| `revision_runs/heldout/alien`, `confidnet`, `embeddings_heldout` | Held-out-error protocol pilot (heads trained on 85 % of the validation split) |
| `revision_runs/probes_seeds/` | Linear + attention-pooling probes (last / mid / begin layer) with head seeds: `model_<m>/dataset_<D>/base_<k>/<probe>_layer_<L>/head_seed_<s>.pt`, `lr.json` = learning rate per probe |
| `revision_runs/outputs/` | Aggregated tables (per-seed metrics, paired tests, calibration, selective risk) |

## Reproduce the paper metrics

With the ALIEN repository checked out and this dataset downloaded to `DATA`:

```bash
python revision/scripts/reproduce_paper_tables.py --results-dir DATA/results --out-dir out --seed-dirs seed_0
python revision/scripts/compare_with_paper.py     --results-dir DATA/results --out-dir out
python revision/scripts/make_selection_tables.py  --results-dir DATA/results --out-dir out --tables-dir out/tables
```

Seed-based statistics: `revision/scripts/summarize_nested.py --work DATA/revision_runs/heldout --results-dir DATA/results`.