# Text Multiple Choice Question Answering on MC-LLaVA

Source: [Text Multiple Choice Question Answering on MC-LLaVA](<https://www.sota2.com/research/sota/text-multiple-choice-question-answering-on-mc-llava>)

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

Data updated: 2026-02-26T05:39:08.298Z

Evaluation of model performance on the MC-LLaVA dataset for Text Multiple Choice Question Answering, measured using Choice-T Accuracy variants (Single, Multi, Weight).

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 | Text Multiple Choice Question Answering |
| Dataset (including any stated split) | MC-LLaVA |
| Metric | Choice-T Accuracy (Single) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [Choice-T Accuracy (Single)](<https://www.sota2.com/research/sota/text-multiple-choice-question-answering-on-mc-llava.md?metric=Choice-T%20Accuracy%20(Single)>): Higher is better; unit: PERCENT.

- [Choice-T Accuracy (Multi)](<https://www.sota2.com/research/sota/text-multiple-choice-question-answering-on-mc-llava.md?metric=Choice-T%20Accuracy%20(Multi)>): Higher is better; unit: PERCENT.

- [Choice-T Accuracy (Weight)](<https://www.sota2.com/research/sota/text-multiple-choice-question-answering-on-mc-llava.md?metric=Choice-T%20Accuracy%20(Weight)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Choice-T Accuracy (Single) | Result date | Report paper |
| --- | --- | --- | --- |
| MC-LLaVA | 72.9 | Not recorded | 68fa77a01e209131cea7475f |
| MC-LLaVA | 72.3 | Not recorded | 68fa77a01e209131cea7475f |
| GPT4o+Prompt | 71.2 | Not recorded | 68fa77a01e209131cea7475f |
| PeKit | 71.2 | Not recorded | 68fa77a01e209131cea7475f |
| RAP-MLLM | 70.9 | Not recorded | 68fa77a01e209131cea7475f |
| Yo'LLaVA-S | 70.3 | Not recorded | 68fa77a01e209131cea7475f |
| Yo'LLaVA-M | 68.4 | Not recorded | 68fa77a01e209131cea7475f |
| LLaVA+Prompt | 64.6 | Not recorded | 68fa77a01e209131cea7475f |
| LLaVA+Prompt | 59.7 | Not recorded | 68fa77a01e209131cea7475f |
| LLaVA | 41.1 | Not recorded | 68fa77a01e209131cea7475f |

### MC-LLaVA

Choice-T Accuracy (Single): 72.9. Result ID: 699af2885698665ec483b2f1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

Recorded evaluation configuration: {"T (Tokens)":"10^1","Auxiliary Loss":true}. This record does not assert independent reproduction.

### MC-LLaVA

Choice-T Accuracy (Single): 72.3. Result ID: 699af2885698665ec483b2f0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

Recorded evaluation configuration: {"T (Tokens)":"10^1","Auxiliary Loss":false}. This record does not assert independent reproduction.

### GPT4o+Prompt

Choice-T Accuracy (Single): 71.2. Result ID: 699af2885698665ec483b2e8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

Recorded evaluation configuration: {"T (Tokens)":"10^1"}. This record does not assert independent reproduction.

### PeKit

Choice-T Accuracy (Single): 71.2. Result ID: 699af2885698665ec483b2ef.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a291e209131cea816bd.md>)

Recorded evaluation configuration: {"T (Tokens)":"0"}. This record does not assert independent reproduction.

### RAP-MLLM

Choice-T Accuracy (Single): 70.9. Result ID: 699af2885698665ec483b2ee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77ba1e209131cea74fc1.md>)

Recorded evaluation configuration: {"T (Tokens)":"10^2"}. This record does not assert independent reproduction.

### Yo'LLaVA-S

Choice-T Accuracy (Single): 70.3. Result ID: 699af2885698665ec483b2ec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75fa1e209131cea6ac29.md>)

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

Recorded evaluation configuration: {"T (Tokens)":"10^1"}. This record does not assert independent reproduction.

### Yo'LLaVA-M

Choice-T Accuracy (Single): 68.4. Result ID: 699af2885698665ec483b2ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75fa1e209131cea6ac29.md>)

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

Recorded evaluation configuration: {"T (Tokens)":"10^1"}. This record does not assert independent reproduction.

### LLaVA+Prompt

Choice-T Accuracy (Single): 64.6. Result ID: 699af2885698665ec483b2eb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

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

Recorded evaluation configuration: {"T (Tokens)":"10^2"}. This record does not assert independent reproduction.

### LLaVA+Prompt

Choice-T Accuracy (Single): 59.7. Result ID: 699af2885698665ec483b2ea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

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

Recorded evaluation configuration: {"T (Tokens)":"10^1"}. This record does not assert independent reproduction.

### LLaVA

Choice-T Accuracy (Single): 41.1. Result ID: 699af2885698665ec483b2e9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77a01e209131cea7475f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

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

Recorded evaluation configuration: {"T (Tokens)":"0"}. This record does not assert independent reproduction.

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