Multimodal Hallucination - VH CrossCheck-explicit Resistance: leaderboard
The "VH CrossCheck-explicit Resistance" subtask of Multimodal Hallucination. A task measuring hallucination in multimodal models — how often a vision-language model asserts objects, attributes or facts not supported by the image.
Metric: Resistance (100 - CrossCheck-explicit). Source: huggingface.co. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | LLaVA-v1.5 | 80.54 | |
| 2 | Llama-VID | 80.51 | |
| 3 | MPLUG-Owl2 | 79.65 | |
| 4 | Chat-Univi | 79.63 | |
| 5 | Video-LLaVA | 77.54 | |
| 6 | Video-Llama | 75.07 | |
| 7 | FAVOR | 74.67 | |
| 8 | Valley | 73.98 | |
| 9 | InstructBLIP | 72.95 |
Interactive version: theaggregate.ai/benchmark?slug=multimodal-hallucination-vh-crosscheck-explicit-resistance · How It Works · Data refreshed daily, snapshot 2026-10-20.