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LLM Stats
POPE
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 3
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| LFM2.5-VL-3B | 0.887 | Not recorded | Not recorded | 2026-08-12 · model_announcement | LLM Stats |
| Phi-3.5-vision-instruct | 0.861 | Not recorded | Not recorded | 2024-08-23 · model_announcement | LLM Stats |
| Phi-4-multimodal-instruct | 0.856 | Not recorded | Not recorded | 2025-02-01 · model_announcement | LLM Stats |