# AI-generated text detection on M4GT-Bench English (test)

Source: [AI-generated text detection on M4GT-Bench English (test)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-m4gt-bench-english-test>)

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

Data updated: 2026-02-26T05:58:43.536Z

Evaluation of AI-generated text detection models on the English test split of the M4GT-Bench dataset, reporting Precision, Recall, F1, and 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 | AI-generated text detection |
| Dataset (including any stated split) | M4GT-Bench English (test) |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [Precision](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-m4gt-bench-english-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-m4gt-bench-english-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-m4gt-bench-english-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-m4gt-bench-english-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| DependencyAI | 98.02 | Not recorded | 6995478c09c33900fcd6d5da |
| XLM-R | 88.72 | Not recorded | 6995478c09c33900fcd6d5da |

### DependencyAI

Precision: 98.02. Result ID: 699ad87f5698665ec467ebac.

[Reporting paper](<https://www.sota2.com/research/paper/6995478c09c33900fcd6d5da.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6995478c09c33900fcd6d5da.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### XLM-R

Precision: 88.72. Result ID: 699ad87f5698665ec467ebab.

[Reporting paper](<https://www.sota2.com/research/paper/6995478c09c33900fcd6d5da.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73d51e209131cea5e645.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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