# Audio-visual QA on MUSIC-AVQA

Source: [Audio-visual QA on MUSIC-AVQA](<https://www.sota2.com/research/sota/audio-visual-qa-on-music-avqa>)

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

Data updated: 2026-06-02T08:19:08.452Z

Evaluation of model performance on the MUSIC-AVQA dataset for Audio-visual Question Answering, reporting separate accuracies for audio-only, visual-only, and combined inputs.

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 | Audio-visual QA |
| Dataset (including any stated split) | MUSIC-AVQA |
| Metric | Overall 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

- [Overall Accuracy](<https://www.sota2.com/research/sota/audio-visual-qa-on-music-avqa.md?metric=Overall%20Accuracy>): Higher is better; unit: PERCENT.

- [Audio Accuracy](<https://www.sota2.com/research/sota/audio-visual-qa-on-music-avqa.md?metric=Audio%20Accuracy>): Higher is better; unit: PERCENT.

- [Visual Accuracy](<https://www.sota2.com/research/sota/audio-visual-qa-on-music-avqa.md?metric=Visual%20Accuracy>): Higher is better; unit: PERCENT.

- [Audio-Visual Accuracy](<https://www.sota2.com/research/sota/audio-visual-qa-on-music-avqa.md?metric=Audio-Visual%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Overall Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CAT-7B-FT | 84.3 | Not recorded | 6a1e63bfdbd7150506f85346 |
| V-LynX-7B | 83 | Not recorded | 6a1e63bfdbd7150506f85346 |
| PAVE-7B | 82.3 | Not recorded | 6a1e63bfdbd7150506f85346 |
| V-LynX-0.5B | 81.1 | Not recorded | 6a1e63bfdbd7150506f85346 |
| VAST | 80.7 | Not recorded | 6a1e63bfdbd7150506f85346 |
| PAVE-0.5B | 78.8 | Not recorded | 6a1e63bfdbd7150506f85346 |
| LLaVA-OV-7B-FT | 77.4 | Not recorded | 6a1e63bfdbd7150506f85346 |
| LLaVA-OV-0.5B-FT | 67.6 | Not recorded | 6a1e63bfdbd7150506f85346 |
| LLaVA-OV-7B | 60.4 | Not recorded | 6a1e63bfdbd7150506f85346 |
| LLaVA-OV-0.5B | 52.8 | Not recorded | 6a1e63bfdbd7150506f85346 |
| CAT-7B | 48.6 | Not recorded | 6a1e63bfdbd7150506f85346 |

### CAT-7B-FT

Overall Accuracy: 84.3. Result ID: 6a1e91f0fbc373592c18a4ad.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea569ef.md>)

[Implementation](<https://github.com/rikeilong/Bay-CAT>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"≥ 7B"}. This record does not assert independent reproduction.

### V-LynX-7B

Overall Accuracy: 83. Result ID: 6a1e91f0fbc373592c18a4b0.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"≥ 7B","∆Params.":"195.0M"}. This record does not assert independent reproduction.

### PAVE-7B

Overall Accuracy: 82.3. Result ID: 6a1e91f0fbc373592c18a4af.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746cf.md>)

[Implementation](<https://github.com/dragonlzm/PAVE>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"≥ 7B","∆Params.":"256.7M"}. This record does not assert independent reproduction.

### V-LynX-0.5B

Overall Accuracy: 81.1. Result ID: 6a1e91f0fbc373592c18a4ac.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"\< 7B","∆Params.":"68.7M"}. This record does not assert independent reproduction.

### VAST

Overall Accuracy: 80.7. Result ID: 6a1e91f0fbc373592c18a4a9.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70c91e209131cea4d159.md>)

[Implementation](<https://github.com/TXH-mercury/VAST>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"\< 7B"}. This record does not assert independent reproduction.

### PAVE-0.5B

Overall Accuracy: 78.8. Result ID: 6a1e91f0fbc373592c18a4ab.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746cf.md>)

[Implementation](<https://github.com/dragonlzm/PAVE>)

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"\< 7B","∆Params.":"127.6M"}. This record does not assert independent reproduction.

### LLaVA-OV-7B-FT

Overall Accuracy: 77.4. Result ID: 6a1e91f0fbc373592c18a4ae.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756f1e209131cea67e58.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"≥ 7B","∆Params.":"161.5M"}. This record does not assert independent reproduction.

### LLaVA-OV-0.5B-FT

Overall Accuracy: 67.6. Result ID: 6a1e91f0fbc373592c18a4aa.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756f1e209131cea67e58.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Task-specific","Model Scale":"\< 7B","∆Params.":"35.2M"}. This record does not assert independent reproduction.

### LLaVA-OV-7B

Overall Accuracy: 60.4. Result ID: 6a1e91f0fbc373592c18a4a8.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756f1e209131cea67e58.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

### LLaVA-OV-0.5B

Overall Accuracy: 52.8. Result ID: 6a1e91f0fbc373592c18a4a7.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756f1e209131cea67e58.md>)

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

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

### CAT-7B

Overall Accuracy: 48.6. Result ID: 6a1e91f0fbc373592c18a4a6.

[Reporting paper](<https://www.sota2.com/research/paper/6a1e63bfdbd7150506f85346.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea569ef.md>)

[Implementation](<https://github.com/rikeilong/Bay-CAT>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

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