# Medical Visual Question Answering on SLAKE (Acc, Recall, Rouge)

Source: [Medical Visual Question Answering on SLAKE (Acc, Recall, Rouge)](<https://www.sota2.com/research/sota/medical-visual-question-answering-on-slake-acc-recall-rouge>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-22T08:25:29.902Z

Evaluation of model performance on the SLAKE dataset for Medical Visual Question Answering, reporting Accuracy, Recall, and Rouge scores.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Medical Visual Question Answering |
| Dataset (including any stated split) | SLAKE |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 25 of 25 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/medical-visual-question-answering-on-slake-acc-recall-rouge.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/medical-visual-question-answering-on-slake-acc-recall-rouge.md?metric=Recall>): Higher is better; unit: PERCENT.

- [ROUGE Score](<https://www.sota2.com/research/sota/medical-visual-question-answering-on-slake-acc-recall-rouge.md?metric=ROUGE%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Ours (Med-Evo) | 71.55 | Not recorded | 69afa5a62d603e6de3e43cef |
| TTRL | 71.27 | Not recorded | 69afa5a62d603e6de3e43cef |
| EN-INF | 68.73 | Not recorded | 69afa5a62d603e6de3e43cef |
| TTRV | 68.45 | Not recorded | 69afa5a62d603e6de3e43cef |
| DeepEyes-v2 | 66.2 | Not recorded | 6a0fe330f984739ed6739f4d |
| MAESTRO | 66.2 | Not recorded | 6a0fe330f984739ed6739f4d |
| GLM-4.6V | 63.1 | Not recorded | 6a0fe330f984739ed6739f4d |
| Thyme | 62.6 | Not recorded | 6a0fe330f984739ed6739f4d |
| GPT-5 | 61.8 | Not recorded | 6a0fe330f984739ed6739f4d |
| Base Model | 61.41 | Not recorded | 69afa5a62d603e6de3e43cef |
| VTOOL-R1 | 60.7 | Not recorded | 6a0fe330f984739ed6739f4d |
| PixelReasoner | 59.8 | Not recorded | 6a0fe330f984739ed6739f4d |
| Kimi-K2.5 | 59.6 | Not recorded | 6a0fe330f984739ed6739f4d |
| DeepEyes | 58.7 | Not recorded | 6a0fe330f984739ed6739f4d |
| GPT-4o | 58.5 | Not recorded | 6a0fe330f984739ed6739f4d |
| Visual-ARFT | 58.5 | Not recorded | 6a0fe330f984739ed6739f4d |
| VTS-V | 57.9 | Not recorded | 6a0fe330f984739ed6739f4d |
| Qwen3-VL-32B | 57.6 | Not recorded | 6a0fe330f984739ed6739f4d |
| Gemini-2.5-Pro | 56.8 | Not recorded | 6a0fe330f984739ed6739f4d |
| VisionReasoner | 56.8 | Not recorded | 6a0fe330f984739ed6739f4d |
| Gemini-2.5-Flash | 56 | Not recorded | 6a0fe330f984739ed6739f4d |
| Direct Answering | 56 | Not recorded | 6a0fe330f984739ed6739f4d |
| Untrained Model | 54.3 | Not recorded | 6a0fe330f984739ed6739f4d |
| MathCoder-VL | 54 | Not recorded | 6a0fe330f984739ed6739f4d |
| Chain-of-Focus | 48.2 | Not recorded | 6a0fe330f984739ed6739f4d |

### Ours (Med-Evo)

Accuracy: 71.55. Result ID: 69afefcc6dbb7075b958ebad.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

Recorded evaluation configuration: {"base model":"MedVLM-R1"}. This record does not assert independent reproduction.

### TTRL

Accuracy: 71.27. Result ID: 69afefcc6dbb7075b958ebac.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79ce1e209131cea7f7aa.md>)

Recorded evaluation configuration: {"base model":"MedVLM-R1"}. This record does not assert independent reproduction.

### EN-INF

Accuracy: 68.73. Result ID: 69afefcc6dbb7075b958ebaa.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78a61e209131cea79983.md>)

Recorded evaluation configuration: {"base model":"MedVLM-R1"}. This record does not assert independent reproduction.

### TTRV

Accuracy: 68.45. Result ID: 69afefcc6dbb7075b958ebab.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bed1e209131cea8b56b.md>)

[Implementation](<https://github.com/Akshit21112002/TTRV>)

Recorded evaluation configuration: {"base model":"MedVLM-R1"}. This record does not assert independent reproduction.

### DeepEyes-v2

Accuracy: 66.2. Result ID: 6a1012f4fbc373592c090597.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691171652828b7cc6937d492.md>)

[Implementation](<https://github.com/Visual-Agent/DeepEyes>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### MAESTRO

Accuracy: 66.2. Result ID: 6a1012f4fbc373592c0905a0.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Implementation](<https://github.com/jinyangwu/Maestro>)

Recorded evaluation configuration: {"Model Type":"Ours"}. This record does not assert independent reproduction.

### GLM-4.6V

Accuracy: 63.1. Result ID: 6a1012f4fbc373592c090591.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a891e209131cea83c41.md>)

Recorded evaluation configuration: {"Model Type":"Open-Source & Baselines"}. This record does not assert independent reproduction.

### Thyme

Accuracy: 62.6. Result ID: 6a1012f4fbc373592c090598.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7aa21e209131cea84434.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### GPT-5

Accuracy: 61.8. Result ID: 6a1012f4fbc373592c09058e.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Closed-Source"}. This record does not assert independent reproduction.

### Base Model

Accuracy: 61.41. Result ID: 69afefcc6dbb7075b958eba9.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5a62d603e6de3e43cef.md>)

Recorded evaluation configuration: {"base model":"MedVLM-R1"}. This record does not assert independent reproduction.

### VTOOL-R1

Accuracy: 60.7. Result ID: 6a1012f4fbc373592c090599.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79501e209131cea7d0f3.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### PixelReasoner

Accuracy: 59.8. Result ID: 6a1012f4fbc373592c09059e.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### Kimi-K2.5

Accuracy: 59.6. Result ID: 6a1012f4fbc373592c090592.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Open-Source & Baselines"}. This record does not assert independent reproduction.

### DeepEyes

Accuracy: 58.7. Result ID: 6a1012f4fbc373592c090596.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78c71e209131cea7a75e.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### GPT-4o

Accuracy: 58.5. Result ID: 6a1012f4fbc373592c09058d.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Closed-Source"}. This record does not assert independent reproduction.

### Visual-ARFT

Accuracy: 58.5. Result ID: 6a1012f4fbc373592c09059c.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78ac1e209131cea79c83.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### VTS-V

Accuracy: 57.9. Result ID: 6a1012f4fbc373592c09059a.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79441e209131cea7cf42.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### Qwen3-VL-32B

Accuracy: 57.6. Result ID: 6a1012f4fbc373592c090593.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Open-Source & Baselines"}. This record does not assert independent reproduction.

### Gemini-2.5-Pro

Accuracy: 56.8. Result ID: 6a1012f4fbc373592c090590.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Closed-Source"}. This record does not assert independent reproduction.

### VisionReasoner

Accuracy: 56.8. Result ID: 6a1012f4fbc373592c09059d.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### Gemini-2.5-Flash

Accuracy: 56. Result ID: 6a1012f4fbc373592c09058f.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Closed-Source"}. This record does not assert independent reproduction.

### Direct Answering

Accuracy: 56. Result ID: 6a1012f4fbc373592c090594.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Open-Source & Baselines"}. This record does not assert independent reproduction.

### Untrained Model

Accuracy: 54.3. Result ID: 6a1012f4fbc373592c090595.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

Recorded evaluation configuration: {"Model Type":"Open-Source & Baselines"}. This record does not assert independent reproduction.

### MathCoder-VL

Accuracy: 54. Result ID: 6a1012f4fbc373592c09059b.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa789d1e209131cea795a9.md>)

[Implementation](<https://github.com/mathllm/MathCoder>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

### Chain-of-Focus

Accuracy: 48.2. Result ID: 6a1012f4fbc373592c09059f.

[Reporting paper](<https://www.sota2.com/research/paper/6a0fe330f984739ed6739f4d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78b91e209131cea7a0cd.md>)

Recorded evaluation configuration: {"Model Type":"Think with Images Methods"}. This record does not assert independent reproduction.

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