| --- |
| license: other |
| tags: |
| - uncertainty-quantification |
| - diffusion-llm |
| - lm-polygraph |
| --- |
| |
| # LLaDA 2.1 mini — UQ eval pickles (`ue_manager_seed1`) |
|
|
| Durable backup of the LLaDA 2.1 mini uncertainty-quantification sweep pickles |
| produced with `lm-polygraph` (branch `feat/llada2-cache`, April–May 2026). |
| Each `.pkl` is a `torch.load`-able `ue_manager` dump containing per-sample |
| `stats` (greedy_texts, target_texts, ...), `estimations`, `gen_metrics`, and |
| `metrics`. |
|
|
| ## Layout |
|
|
| ``` |
| setup_a/ no-train baselines, reduced config (~34 est, K=10 sampling dropped) |
| setup_b/ with-train baselines (79 est) |
| setup_c/ train-only estimators (6 est: TAD/MIND/SAPLMA/SATRMD/LookBackLens/Mahalanobis) |
| setup_d/ diffusion methods, merged config (542 est incl. ConfidenceAtCommit family) |
| ``` |
|
|
| ## Coverage (8 datasets in scope + truthfulqa) |
|
|
| | Dataset | setup_a | setup_b | setup_c | setup_d | |
| |---|:-:|:-:|:-:|:-:| |
| | coqa | — | — | — | ✅ | |
| | gsm8k | — | — | — | ✅ | |
| | mmlu | ✅ | — | ✅ | ✅ | |
| | samsum | ✅¹ | — | — | ✅ (strip-fixed) | |
| | triviaqa | ✅ | ✅ | — | ✅ | |
| | wmt14_fren | ✅ | — | — | ✅ | |
| | wmt19_deen | ✅ | — | — | ✅ | |
| | xsum | ✅¹ | — | — | ✅ (strip-fixed) | |
| | truthfulqa | — | — | — | ✅ (descoped) | |
|
|
| ## Caveats |
|
|
| - **Metrics**: MCQ/QA (mmlu, coqa, triviaqa) strict `Accuracy` undercounts |
| (verbose answers / "B. …" prefixes). Recompute with |
| `scripts/repatch_pickle_accuracy.py` for real numbers |
| (e.g. mmlu 4.8% → 33%). NMT (wmt14/wmt19) — use **Comet** (~0.80), not Accuracy. |
| - ¹ **samsum/xsum setup_a** carry a high meta-prefix rate (~44–66% of outputs |
| begin with "It seems…"), but a real summary is usually embedded after the |
| prefix, so **AlignScore (~0.66)** is the usable signal. |
| - **Missing**: coqa & gsm8k setup_a; setup_b beyond triviaqa (all other |
| setup_b runs were failed stubs). setup_c is derivable from setup_b/d |
| hidden states where present. |
| |
| ## Provenance |
| |
| Generated on MBZUAI cluster (mbz1–4) + CIAI, model `inclusionAI/LLaDA2.1-mini`, |
| DAE decoding (`tau_edit=0.0`, `mbe_iters=16`, `suppress_eos_min_total_committed=50`), |
| `subsample_eval_dataset=2000`. See PR ArtemVazh/uncertainty_dllm#4. |
| |
