VIGOR Study - Vanilla - AMBER Discriminative - Accuracy: leaderboard
VIGOR Study - Vanilla - AMBER Discriminative - Accuracy: Accuracy (%). VIGOR v1 author-run vanilla baselines; original LLaDA-V and Lumina-DiMOO weights, greedy decoding at temperature zero, model-default block schedule. VCD, ICT and VIGOR intervention rows are not model baseline results. No inference speed metrics. CHAIR uses a 500-image random COCO 2014 validation sample; the paper does not publish sampled image IDs.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 2 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | LLaDA-V (VIGOR Run: vanilla; temperature=0; default-block-schedule) | 73.3 | |
| 2 | Lumina-DiMOO (VIGOR Run: vanilla; temperature=0; default-block-schedule) | 67.4 |
Interactive version: theaggregate.ai/benchmark?slug=vigor-study-vanilla-amber-discriminative-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-06.