Multimodal Hallucination - VH SelfCheckGPT Resistance: leaderboard
The "VH SelfCheckGPT 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 - SelfCheckGPT). Source: huggingface.co. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InstructBLIP | 88.32 | |
| 2 | LLaVA-v1.5 | 87.43 | |
| 3 | FAVOR | 86.22 | |
| 4 | Llama-VID | 85.14 | |
| 5 | MPLUG-Owl2 | 83.93 | |
| 6 | Chat-Univi | 83.2 | |
| 7 | Video-LLaVA | 80.03 | |
| 8 | Video-Llama | 77.01 | |
| 9 | Valley | 74.31 |
Interactive version: theaggregate.ai/benchmark?slug=multimodal-hallucination-vh-selfcheckgpt-resistance · How It Works · Data refreshed daily, snapshot 2026-10-20.