3DVerifierBench
Harbor adapterDVerifierBench Grounding Generative Verification in 3D ContentShuanglin Li, Jiaying Lin, Shuquan Ye.
- Samples
- 2,581
- Released
- 2026
- Scores
- 10
HouseholdBench
HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
A benchmark with 32 prediction tasks across 6 U.S. household surveys (21.7M observations) evaluating LLMs on numeric, categorical, and probabilistic economic outcomes.
How to run
ltb · householdbench
$ npm i -g lettokenburn-cli$ ltb bench info householdbench
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
14 sourced entries| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| XGBoost | 0.8 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Fable 5.1 | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Claude Opus 5 | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| GPT-5.6 Sol | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| GPT-6 Astra | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Claude Opus 4.8 | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Claude Sonnet 5 | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| GPT-5.6-terra | 0.9 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| DeepSeek V4 Flash | 1.0 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Qwen3.6 35B A3B | 1.0 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| GPT-5.6 Luna | 1.0 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| DeepSeek V4 Pro | 1.0 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Qwen3.6 27B | 1.0 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
| Qwen3.5 4B | 1.3 | N/A | Independent | medium | Oct 6, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
All runsLoading community runs…
About
HouseholdBench comprises 32 tasks derived from six U.S. household surveys, covering consumption, income, labor, expectations, and housing. It includes baseline and policy-response scenarios using longitudinal data.
Models are evaluated against no-change and gradient-boosted tree baselines. Proprietary LLMs approach tree performance, while fine-tuned open-weight models show significant improvement, reducing numeric error by up to 24%.