# Multi-choice Video Question Answering on EgoSchema (subset)

Source: [Multi-choice Video Question Answering on EgoSchema (subset)](<https://www.sota2.com/research/sota/multi-choice-video-question-answering-on-egoschema-subset>)

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

Data updated: 2026-02-26T05:29:58.054Z

Evaluation of model performance on the subset of the EgoSchema dataset specifically for Multi-choice Video Question Answering tasks.

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 | Multi-choice Video Question Answering |
| Dataset (including any stated split) | EgoSchema (subset) |
| Metric | 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

- [Accuracy](<https://www.sota2.com/research/sota/multi-choice-video-question-answering-on-egoschema-subset.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Tarsier-34B | 68.6 | Not recorded | 68fa74e41e209131cea64782 |
| LangRepo | 66.2 | Not recorded | 68fa74e41e209131cea64782 |
| VideoTree | 66.2 | Not recorded | 68fa74e41e209131cea64782 |
| VideoChat2 | 63.6 | Not recorded | 68fa74e41e209131cea64782 |
| VideoAgent | 60.2 | Not recorded | 68fa74e41e209131cea64782 |
| LLoVi | 57.6 | Not recorded | 68fa74e41e209131cea64782 |
| Tarsier-7B | 56 | Not recorded | 68fa74e41e209131cea64782 |

### Tarsier-34B

Accuracy: 68.6. Result ID: 69937e533a6c3148491656a4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Implementation](<https://github.com/bytedance/tarsier>)

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

### LangRepo

Accuracy: 66.2. Result ID: 69937e533a6c3148491656a1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa764b1e209131cea6c30b.md>)

[Implementation](<https://www.sota2.com/github.com/kkahatapitiya/LangRepo>)

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

### VideoTree

Accuracy: 66.2. Result ID: 69937e533a6c3148491656a2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa777a1e209131cea73736.md>)

[Implementation](<https://videotree2024.github.io/>)

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

### VideoChat2

Accuracy: 63.6. Result ID: 69937e533a6c31484916569e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73411e209131cea5b4b7.md>)

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

### VideoAgent

Accuracy: 60.2. Result ID: 69937e533a6c3148491656a0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72971e209131cea5761e.md>)

[Implementation](<https://wxh1996.github.io/VideoAgent-Website/>)

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

### LLoVi

Accuracy: 57.6. Result ID: 69937e533a6c31484916569f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75261e209131cea6629c.md>)

[Implementation](<https://github.com/CeeZh/LLoVi>)

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

### Tarsier-7B

Accuracy: 56. Result ID: 69937e533a6c3148491656a3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74e41e209131cea64782.md>)

[Implementation](<https://github.com/bytedance/tarsier>)

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

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