Benchmark
POPE
vision
safety
multimodal
multimodal
Polling-based Object Probing Evaluation (POPE) is a benchmark for evaluating object hallucination in Large Vision-Language Models (LVLMs). POPE addresses the problem where LVLMs generate objects inconsistent with target images by using a polling-based query method that asks yes/no questions about object presence in images, providing more stable and flexible evaluation of object hallucination.
语言EN
满分1
参评模型2
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Phi-3.5-vision-instruct | Microsoft | 86.1 | 来源 ↗ |
| 2 | Phi-4-multimodal-instruct | Microsoft | 85.6 | 来源 ↗ |