# Multilingual Logical Reasoning on CrossMMLU

Source: [Multilingual Logical Reasoning on CrossMMLU](<https://www.sota2.com/research/sota/multilingual-logical-reasoning-on-crossmmlu>)

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

Data updated: 2026-04-15T07:12:08.702Z

Evaluation of model performance on multilingual logical reasoning tasks using the CrossMMLU dataset, reporting scores across specified languages (e.g., English, Chinese, Indonesian) and a consensus score.

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 | Multilingual Logical Reasoning |
| Dataset (including any stated split) | CrossMMLU |
| Metric | Accuracy (English) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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 (English)](<https://www.sota2.com/research/sota/multilingual-logical-reasoning-on-crossmmlu.md?metric=Accuracy%20(English)>): Higher is better; unit: PERCENT.

- [Accuracy (Chinese)](<https://www.sota2.com/research/sota/multilingual-logical-reasoning-on-crossmmlu.md?metric=Accuracy%20(Chinese)>): Higher is better; unit: PERCENT.

- [Accuracy (Indonesian)](<https://www.sota2.com/research/sota/multilingual-logical-reasoning-on-crossmmlu.md?metric=Accuracy%20(Indonesian)>): Higher is better; unit: PERCENT.

- [Accuracy (Consensus)](<https://www.sota2.com/research/sota/multilingual-logical-reasoning-on-crossmmlu.md?metric=Accuracy%20(Consensus)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (English) | Result date | Report paper |
| --- | --- | --- | --- |
| Qwen2.5-7B-AdaMCOT | 84.7 | Not recorded | 68fa7a601e209131cea82b5f |
| LLaMA3.1-8B-AdaMCOT | 84 | Not recorded | 68fa7a601e209131cea82b5f |
| Qwen2.5-7B-Instruction | 84 | Not recorded | 68fa7a601e209131cea82b5f |
| LLaMA3.1-8B-Instruction | 82 | Not recorded | 68fa7a601e209131cea82b5f |

### Qwen2.5-7B-AdaMCOT

Accuracy (English): 84.7. Result ID: 69df390f47f34ce924c7860a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

Recorded evaluation configuration: {"Backbone":"Qwen2.5-7B"}. This record does not assert independent reproduction.

### LLaMA3.1-8B-AdaMCOT

Accuracy (English): 84. Result ID: 69df390f47f34ce924c78608.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

Recorded evaluation configuration: {"Backbone":"LLaMA3.1-8B"}. This record does not assert independent reproduction.

### Qwen2.5-7B-Instruction

Accuracy (English): 84. Result ID: 69df390f47f34ce924c78609.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa767e1e209131cea6d6a7.md>)

Recorded evaluation configuration: {"Backbone":"Qwen2.5-7B"}. This record does not assert independent reproduction.

### LLaMA3.1-8B-Instruction

Accuracy (English): 82. Result ID: 69df390f47f34ce924c78607.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a601e209131cea82b5f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Backbone":"LLaMA3.1-8B"}. This record does not assert independent reproduction.

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