ROSE Editing - T=1000 - VLKEB - M-Loc.: leaderboard
ROSE v1 knowledge editing VLKEB, M-Loc., T=1000 sequential edits, native percentage. Exact LLaVA-v1.5-7B/MiniGPT-4-7B backbones and editing methods retained as run identities; no score transfer to the frozen base or claim of a released edited checkpoint. Source explicitly attributes baseline method results to Chen et al.[18]; those rows remain labeled cited-Chen-et-al-18 and are not new independent author replications. ROSE rows are author results. Different edit horizons and reliability/generality/locality outcomes remain separate; resource times/VRAM and hyperparameter-search ablations are withheld.
Metric: Knowledge editing correctness / retention (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 18 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | LLaVA-v1.5-7B (ROSE Run: edits=T=1000;method=LiveEdit;provenance=cited-Chen-et-al-18;effort=source-unreported) | 100 | |
| 2 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=LiveEdit;provenance=cited-Chen-et-al-18;effort=source-unreported) | 100 | |
| 3 | LLaVA-v1.5-7B (ROSE Run: edits=T=1000;method=ROSE;provenance=author;effort=source-unreported) | 88.39 | |
| 4 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=ROSE;provenance=author;effort=source-unreported) | 86.84 | |
| 5 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=RECIPE;provenance=cited-Chen-et-al-18;effort=source-unreported) | 83.84 | |
| 6 | LLaVA-v1.5-7B (ROSE Run: edits=T=1000;method=RECIPE;provenance=cited-Chen-et-al-18;effort=source-unreported) | 82.07 | |
| 7 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=LTE;provenance=cited-Chen-et-al-18;effort=source-unreported) | 78.59 | |
| 8 | LLaVA-v1.5-7B (ROSE Run: edits=T=1000;method=FT-L;provenance=cited-Chen-et-al-18;effort=source-unreported) | 75.35 | |
| 9 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=MEND;provenance=cited-Chen-et-al-18;effort=source-unreported) | 62.32 | |
| 10 | MiniGPT-4-7B (ROSE Run: edits=T=1000;method=FT-L;provenance=cited-Chen-et-al-18;effort=source-unreported) | 60.34 |
Interactive version: theaggregate.ai/benchmark?slug=rose-editing-t-1000-vlkeb-m-loc · How It Works · Data refreshed daily, snapshot 2026-11-12.