# Visual Question Answering on GQA (Accuracy, Relative Score)

Source: [Visual Question Answering on GQA (Accuracy, Relative Score)](<https://www.sota2.com/research/sota/visual-question-answering-on-gqa-accuracy-relative-score>)

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

Data updated: 2026-02-27T09:53:41.864Z

Evaluation of model performance on the GQA dataset for visual question answering, reporting Accuracy and Relative Score metrics.

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 | Visual Question Answering |
| Dataset (including any stated split) | GQA |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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/visual-question-answering-on-gqa-accuracy-relative-score.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Relative Score](<https://www.sota2.com/research/sota/visual-question-answering-on-gqa-accuracy-relative-score.md?metric=Relative%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Vanilla | 64.2 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 62.4 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 61.3 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 61 | Not recorded | 68fa760f1e209131cea6b33b |
| SparseVLM | 60.3 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 59.3 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 58.2 | Not recorded | 68fa760f1e209131cea6b33b |
| SparseVLM | 57.7 | Not recorded | 68fa760f1e209131cea6b33b |
| VisionZip | 55.5 | Not recorded | 68fa760f1e209131cea6b33b |
| SparseVLM | 51.2 | Not recorded | 68fa760f1e209131cea6b33b |

### Vanilla

Accuracy: 64.2. Result ID: 69a1699535dfcabb00e6e3e9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa732e1e209131cea5af59.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"2880","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 62.4. Result ID: 69a1699535dfcabb00e6e3ec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"640","Projector Fine-tuning":"Yes"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 61.3. Result ID: 69a1699535dfcabb00e6e3eb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"640","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 61. Result ID: 69a1699535dfcabb00e6e3ef.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"320","Projector Fine-tuning":"Yes"}. This record does not assert independent reproduction.

### SparseVLM

Accuracy: 60.3. Result ID: 69a1699535dfcabb00e6e3ea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79181e209131cea7c1b1.md>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"640","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 59.3. Result ID: 69a1699535dfcabb00e6e3ee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"320","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 58.2. Result ID: 69a1699535dfcabb00e6e3f2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"160","Projector Fine-tuning":"Yes"}. This record does not assert independent reproduction.

### SparseVLM

Accuracy: 57.7. Result ID: 69a1699535dfcabb00e6e3ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79181e209131cea7c1b1.md>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"320","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### VisionZip

Accuracy: 55.5. Result ID: 69a1699535dfcabb00e6e3f1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Implementation](<https://github.com/dvlab-research/VisionZip>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"160","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

### SparseVLM

Accuracy: 51.2. Result ID: 69a1699535dfcabb00e6e3f0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa760f1e209131cea6b33b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79181e209131cea7c1b1.md>)

Recorded evaluation configuration: {"Backbone":"LLaVA-NeXT","Number of Visual Tokens":"160","Projector Fine-tuning":"No"}. This record does not assert independent reproduction.

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