# Science Question Answering on ScienceQA (SQAI)

Source: [Science Question Answering on ScienceQA (SQAI)](<https://www.sota2.com/research/sota/science-question-answering-on-scienceqa-sqai>)

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

Data updated: 2026-02-26T05:29:17.674Z

Evaluation of model performance on the ScienceQA (SQAI) dataset for the Science Question Answering task, measured using accuracy.

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 | Science Question Answering |
| Dataset (including any stated split) | ScienceQA (SQAI) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| 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/science-question-answering-on-scienceqa-sqai.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| LLaVA-1.5 | 71.6 | Not recorded | 68fa715d1e209131cea50df6 |
| LVIS-INSTRUCT4V + mixLLaVA (Ours) | 70.6 | Not recorded | 68fa715d1e209131cea50df6 |
| LVIS-INSTRUCT4V (Ours) | 69 | Not recorded | 68fa715d1e209131cea50df6 |
| LVIS-INSTRUCT4V (Ours) | 68.4 | Not recorded | 68fa715d1e209131cea50df6 |
| LVIS-INSTRUCT4V + mixLLaVA (Ours) | 68.3 | Not recorded | 68fa715d1e209131cea50df6 |
| Qwen-VL-chat | 68.2 | Not recorded | 68fa715d1e209131cea50df6 |
| Qwen-VL | 67.1 | Not recorded | 68fa715d1e209131cea50df6 |
| LLaVA-1.5 | 66.8 | Not recorded | 68fa715d1e209131cea50df6 |
| InstructBLIP | 63.1 | Not recorded | 68fa715d1e209131cea50df6 |
| BLIP-2 | 61 | Not recorded | 68fa715d1e209131cea50df6 |
| InstructBLIP | 60.5 | Not recorded | 68fa715d1e209131cea50df6 |

### LLaVA-1.5

Accuracy: 71.6. Result ID: 6991ae203a6c31484909dd3f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

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

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

Recorded evaluation configuration: {"LLM":"Vicuna-13B","w/G":"GPT-4"}. This record does not assert independent reproduction.

### LVIS-INSTRUCT4V + mixLLaVA (Ours)

Accuracy: 70.6. Result ID: 6991ae203a6c31484909dd41.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Implementation](<https://github.com/X2FD/LVIS-INSTRUCT4V>)

Recorded evaluation configuration: {"LLM":"Vicuna-13B","w/G":"GPT-4 & 4V"}. This record does not assert independent reproduction.

### LVIS-INSTRUCT4V (Ours)

Accuracy: 69. Result ID: 6991ae203a6c31484909dd40.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Implementation](<https://github.com/X2FD/LVIS-INSTRUCT4V>)

Recorded evaluation configuration: {"LLM":"Vicuna-13B","w/G":"GPT-4V"}. This record does not assert independent reproduction.

### LVIS-INSTRUCT4V (Ours)

Accuracy: 68.4. Result ID: 6991ae203a6c31484909dd3b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Implementation](<https://github.com/X2FD/LVIS-INSTRUCT4V>)

Recorded evaluation configuration: {"LLM":"Vicuna-7B","w/G":"GPT-4V"}. This record does not assert independent reproduction.

### LVIS-INSTRUCT4V + mixLLaVA (Ours)

Accuracy: 68.3. Result ID: 6991ae203a6c31484909dd3c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Implementation](<https://github.com/X2FD/LVIS-INSTRUCT4V>)

Recorded evaluation configuration: {"LLM":"Vicuna-7B","w/G":"GPT-4 & 4V"}. This record does not assert independent reproduction.

### Qwen-VL-chat

Accuracy: 68.2. Result ID: 6991ae203a6c31484909dd39.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d41e209131cea4d774.md>)

[Implementation](<https://github.com/QwenLM/Qwen-VL>)

Recorded evaluation configuration: {"LLM":"Qwen-7B","w/G":"Private"}. This record does not assert independent reproduction.

### Qwen-VL

Accuracy: 67.1. Result ID: 6991ae203a6c31484909dd38.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d41e209131cea4d774.md>)

[Implementation](<https://github.com/QwenLM/Qwen-VL>)

Recorded evaluation configuration: {"LLM":"Qwen-7B","w/G":"Private"}. This record does not assert independent reproduction.

### LLaVA-1.5

Accuracy: 66.8. Result ID: 6991ae203a6c31484909dd3a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

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

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

Recorded evaluation configuration: {"LLM":"Vicuna-7B","w/G":"GPT-4"}. This record does not assert independent reproduction.

### InstructBLIP

Accuracy: 63.1. Result ID: 6991ae203a6c31484909dd3e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fb71e209131cea47021.md>)

[Implementation](<https://github.com/salesforce/LAVIS/tree/main/projects/instructblip>)

Recorded evaluation configuration: {"LLM":"Vicuna-13B","w/G":"GPT-4"}. This record does not assert independent reproduction.

### BLIP-2

Accuracy: 61. Result ID: 6991ae203a6c31484909dd3d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fb71e209131cea46fe6.md>)

[Implementation](<https://github.com/salesforce/LAVIS/tree/main/projects/blip2>)

Recorded evaluation configuration: {"LLM":"Vicuna-13B","w/G":"None"}. This record does not assert independent reproduction.

### InstructBLIP

Accuracy: 60.5. Result ID: 6991ae203a6c31484909dd37.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715d1e209131cea50df6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fb71e209131cea47021.md>)

[Implementation](<https://github.com/salesforce/LAVIS/tree/main/projects/instructblip>)

Recorded evaluation configuration: {"LLM":"Vicuna-7B","w/G":"GPT-4"}. This record does not assert independent reproduction.

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