Benchmark
SlakeVQA
A semantically-labeled knowledge-enhanced dataset for medical visual question answering. Contains 642 radiology images (CT scans, MRI scans, X-rays)…
- Modality
- multimodal
- Categories
- multimodal, reasoning, image_to_text, healthcare, vision
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 4
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| MedGemma 4B IT | 0.623 | 2025-05-20 | evidence | |
| Qwen3.5-122B-A10B | Qwen | 0.816 | 2026-02-24 | evidence |
| Qwen3.5-27B | Qwen | 0.8 | 2026-02-24 | evidence |
| Qwen3.5-35B-A3B | Qwen | 0.787 | 2026-02-24 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.