# Visual Question Answering on BCNB

Source: [Visual Question Answering on BCNB](<https://www.sota2.com/research/sota/visual-question-answering-on-bcnb>)

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

Data updated: 2026-02-26T06:08:03.777Z

Evaluation of model performance on the BCNB dataset for Visual Question Answering.

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) | BCNB |
| Metric | VQA Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [VQA Accuracy](<https://www.sota2.com/research/sota/visual-question-answering-on-bcnb.md?metric=VQA%20Accuracy>): Higher is better; unit: PERCENT.

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

## Recorded results

| Method | VQA Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PathFLIP | 58.65 | Not recorded | 6948d06d423ea42265729ea0 |
| SlideChat | 54.14 | Not recorded | 6948d06d423ea42265729ea0 |
| CPath-Omni | 45.67 | Not recorded | 6948d06d423ea42265729ea0 |
| PathGen-LLava | 45.57 | Not recorded | 6948d06d423ea42265729ea0 |
| MedDr | 33.67 | Not recorded | 6948d06d423ea42265729ea0 |
| Quilt-LLava | 32.19 | Not recorded | 6948d06d423ea42265729ea0 |
| LLava-Med | 30.1 | Not recorded | 6948d06d423ea42265729ea0 |

### PathFLIP

VQA Accuracy: 58.65. Result ID: 699827385698665ec481d4c3.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

Recorded evaluation configuration: {"Instruction fine-tuning setting":"Qwen3-0.6B"}. This record does not assert independent reproduction.

### SlideChat

VQA Accuracy: 54.14. Result ID: 699827385698665ec481d4c2.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73b94.md>)

[Implementation](<https://uni-medical.github.io/SlideChat.github.io>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CPath-Omni

VQA Accuracy: 45.67. Result ID: 699827385698665ec481d4c1.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76321e209131cea6bc46.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### PathGen-LLava

VQA Accuracy: 45.57. Result ID: 699827385698665ec481d4c0.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73ec1e209131cea5ee59.md>)

Recorded evaluation configuration: {"Input sampling protocol":"30 randomly sampled patches"}. This record does not assert independent reproduction.

### MedDr

VQA Accuracy: 33.67. Result ID: 699827385698665ec481d4be.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

Recorded evaluation configuration: {"Input sampling protocol":"30 randomly sampled patches"}. This record does not assert independent reproduction.

### Quilt-LLava

VQA Accuracy: 32.19. Result ID: 699827385698665ec481d4bf.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76881e209131cea6d7e8.md>)

[Implementation](<https://www.sota2.com/quilt-llava.github.io>)

Recorded evaluation configuration: {"Input sampling protocol":"30 randomly sampled patches"}. This record does not assert independent reproduction.

### LLava-Med

VQA Accuracy: 30.1. Result ID: 699827385698665ec481d4bd.

[Reporting paper](<https://www.sota2.com/research/paper/6948d06d423ea42265729ea0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f8e1e209131cea46356.md>)

[Implementation](<https://aka.ms/llava-med>)

Recorded evaluation configuration: {"Input sampling protocol":"30 randomly sampled patches"}. This record does not assert independent reproduction.

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