# Video Question Answering on ActivityNet-QA LLaVA-Hound in-domain (test)

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

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

Data updated: 2026-02-26T05:29:57.206Z

Evaluation of Video Question Answering performance on the specific LLaVA-Hound in-domain test split of the ActivityNet-QA dataset, 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) | ActivityNet-QA LLaVA-Hound in-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-activitynet-qa-llava-hound-in-domain-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MM1.5-Video | 68.5 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 67.8 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 65.7 | Not recorded | 68fa75051e209131cea65504 |
| LLAVA-HOUND-SFT | 62.8 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 52.8 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 51.5 | Not recorded | 68fa75051e209131cea65504 |
| MM1.5-Video | 49 | Not recorded | 68fa75051e209131cea65504 |
| Video-LLaVA | 41.4 | Not recorded | 68fa75051e209131cea65504 |
| Chat-UniVi | 39.4 | Not recorded | 68fa75051e209131cea65504 |
| LLaMA-VID | 36.5 | Not recorded | 68fa75051e209131cea65504 |
| Video-ChatGPT | 34.2 | Not recorded | 68fa75051e209131cea65504 |

### MM1.5-Video

Accuracy: 68.5. Result ID: 699370673a6c31484915ef34.

[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: 67.8. Result ID: 699370673a6c31484915ef33.

[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: 65.7. Result ID: 699370673a6c31484915ef32.

[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: 62.8. Result ID: 699370673a6c31484915ef2e.

[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: 52.8. Result ID: 699370673a6c31484915ef31.

[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: 51.5. Result ID: 699370673a6c31484915ef30.

[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: 49. Result ID: 699370673a6c31484915ef2f.

[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: 41.4. Result ID: 699370673a6c31484915ef2d.

[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: 39.4. Result ID: 699370673a6c31484915ef2c.

[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.

### LLaMA-VID

Accuracy: 36.5. Result ID: 699370673a6c31484915ef2b.

[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.

### Video-ChatGPT

Accuracy: 34.2. Result ID: 699370673a6c31484915ef2a.

[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.

Page 1 of 1. This is an index page, not the full collection.
