# Binary comparison for commonsense plausibility on ViComTe Color 1.0 (test)

Source: [Binary comparison for commonsense plausibility on ViComTe Color 1.0 (test)](<https://www.sota2.com/research/sota/binary-comparison-for-commonsense-plausibility-on-vicomte-color-1-0-test>)

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

Data updated: 2026-04-21T10:45:47.589Z

Evaluation of model performance on binary comparison tasks for commonsense plausibility using the test split of the ViComTe Color 1.0 dataset, measured by 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 | Binary comparison for commonsense plausibility |
| Dataset (including any stated split) | ViComTe Color 1.0 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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/binary-comparison-for-commonsense-plausibility-on-vicomte-color-1-0-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4 | 93.29 | Not recorded | 68fa770e1e209131cea70d46 |
| EVA-CLIP | 93.29 | Not recorded | 68fa770e1e209131cea70d46 |
| GPT-3.5 | 92.25 | Not recorded | 68fa770e1e209131cea70d46 |
| Qwen2 | 86.79 | Not recorded | 68fa770e1e209131cea70d46 |
| Mistral | 86.06 | Not recorded | 68fa770e1e209131cea70d46 |

### GPT-4

Accuracy: 93.29. Result ID: 69e7547b47f34ce924ce593b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

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

### EVA-CLIP

Accuracy: 93.29. Result ID: 69e7547b47f34ce924ce593e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

Recorded evaluation configuration: {"Framework":"ComPaSS"}. This record does not assert independent reproduction.

### GPT-3.5

Accuracy: 92.25. Result ID: 69e7547b47f34ce924ce593a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

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

### Qwen2

Accuracy: 86.79. Result ID: 69e7547b47f34ce924ce593d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

Recorded evaluation configuration: {"Framework":"ComPaSS","Training":"Contrastive Learning (CL)"}. This record does not assert independent reproduction.

### Mistral

Accuracy: 86.06. Result ID: 69e7547b47f34ce924ce593c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770e1e209131cea70d46.md>)

Recorded evaluation configuration: {"Framework":"ComPaSS","Training":"Contrastive Learning (CL)"}. This record does not assert independent reproduction.

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