# Video Question Answering on MSRVTT-QA LLaVA-Hound out-of-domain (test)

Source: [Video Question Answering on MSRVTT-QA LLaVA-Hound out-of-domain (test)](<https://www.sota2.com/research/sota/video-question-answering-on-msrvtt-qa-llava-hound-out-of-domain-test>)

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

Data updated: 2026-02-26T05:29:57.278Z

Evaluation of model performance on the out-of-domain test split of the MSRVTT-QA dataset, specifically using LLaVA-Hound generated questions, for Video Question Answering tasks, reporting 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 | Video Question Answering |
| Dataset (including any stated split) | MSRVTT-QA LLaVA-Hound out-of-domain (test) |
| 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/video-question-answering-on-msrvtt-qa-llava-hound-out-of-domain-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MM1.5-Video | 59.3 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 57.2 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 55.3 | Not recorded | 68fa75051e209131cea65504 |
| LLAVA-HOUND-SFT | 52.6 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 48.1 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 46 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 43.3 | Not recorded | 68fa75051e209131cea65504 |
| Video-LLaVA | 30.8 | Not recorded | 68fa75051e209131cea65504 |
| Chat-UniVi | 25.9 | Not recorded | 68fa75051e209131cea65504 |
| Video-ChatGPT | 25.7 | Not recorded | 68fa75051e209131cea65504 |
| LLaMA-VID | 25 | Not recorded | 68fa75051e209131cea65504 |

### MM1.5-Video

Accuracy: 59.3. Result ID: 699370673a6c31484915ef60.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"7B","Protocol":"SFT"}. This record does not assert independent reproduction.

### MM1.5-Video

Accuracy: 57.2. Result ID: 699370673a6c31484915ef5f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"3B","Protocol":"SFT"}. This record does not assert independent reproduction.

### MM1.5-Video

Accuracy: 55.3. Result ID: 699370673a6c31484915ef5e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"1B","Protocol":"SFT"}. This record does not assert independent reproduction.

### LLAVA-HOUND-SFT

Accuracy: 52.6. Result ID: 699370673a6c31484915ef5a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### MM1.5-Video

Accuracy: 48.1. Result ID: 699370673a6c31484915ef5d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"7B","Protocol":"Training-free"}. This record does not assert independent reproduction.

### MM1.5-Video

Accuracy: 46. Result ID: 699370673a6c31484915ef5c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"3B","Protocol":"Training-free"}. This record does not assert independent reproduction.

### MM1.5-Video

Accuracy: 43.3. Result ID: 699370673a6c31484915ef5b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Implementation](<https://github.com/apple/axlearn>)

Recorded evaluation configuration: {"Model Scale":"1B","Protocol":"Training-free"}. This record does not assert independent reproduction.

### Video-LLaVA

Accuracy: 30.8. Result ID: 699370673a6c31484915ef59.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65534.md>)

[Implementation](<https://github.com/PKU-YuanGroup/Video-LLaVA>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### Chat-UniVi

Accuracy: 25.9. Result ID: 699370673a6c31484915ef58.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72d31e209131cea58bff.md>)

[Implementation](<https://github.com/PKU-YuanGroup/Chat-UniVi>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### Video-ChatGPT

Accuracy: 25.7. Result ID: 699370673a6c31484915ef56.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73841e209131cea5ce32.md>)

[Implementation](<https://github.com/mbzuai-oryx/Video-ChatGPT>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### LLaMA-VID

Accuracy: 25. Result ID: 699370673a6c31484915ef57.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75051e209131cea65504.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71461e209131cea50559.md>)

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

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

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