# AI-generated text detection on MAGE (LLaMA) 1.0 (test)

Source: [AI-generated text detection on MAGE (LLaMA) 1.0 (test)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-mage-llama-1-0-test>)

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

Data updated: 2026-04-16T07:53:21.347Z

Evaluation of models for detecting AI-generated text using the MAGE (LLaMA) 1.0 test set, reporting Accuracy and F1-Measure.

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) | MAGE (LLaMA) 1.0 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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/ai-generated-text-detection-on-mage-llama-1-0-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F1-Measure](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-mage-llama-1-0-test.md?metric=F1-Measure>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DRGD | 88 | Not recorded | 69e06cfb7d0172140ec7c979 |
| PECOLA | 84.6 | Not recorded | 69e06cfb7d0172140ec7c979 |
| BERT | 83.1 | Not recorded | 69e06cfb7d0172140ec7c979 |
| MCP | 75.9 | Not recorded | 69e06cfb7d0172140ec7c979 |
| GLTR | 75.1 | Not recorded | 69e06cfb7d0172140ec7c979 |
| SCRN | 75 | Not recorded | 69e06cfb7d0172140ec7c979 |
| Fast-DetectGPT | 73.4 | Not recorded | 69e06cfb7d0172140ec7c979 |
| IT:CLUST | 71.3 | Not recorded | 69e06cfb7d0172140ec7c979 |

### DRGD

Accuracy: 88. Result ID: 69e0953f47f34ce924c99da5.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

Recorded evaluation configuration: {"Method Category":"Training-based"}. This record does not assert independent reproduction.

### PECOLA

Accuracy: 84.6. Result ID: 69e0953f47f34ce924c99da3.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73fd1e209131cea5f0f0.md>)

[Implementation](<https://github.com/lsc-1/Pecola>)

Recorded evaluation configuration: {"Method Category":"Training-based"}. This record does not assert independent reproduction.

### BERT

Accuracy: 83.1. Result ID: 69e0953f47f34ce924c99da1.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Method Category":"Training-based"}. This record does not assert independent reproduction.

### MCP

Accuracy: 75.9. Result ID: 69e0953f47f34ce924c99da0.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa788d1e209131cea79039.md>)

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

### GLTR

Accuracy: 75.1. Result ID: 69e0953f47f34ce924c99d9e.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65e11e209131cea0d18b.md>)

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

### SCRN

Accuracy: 75. Result ID: 69e0953f47f34ce924c99da4.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73e41e209131cea5eb76.md>)

[Implementation](<https://github.com/CarlanLark/Robust-AIGC-Detector>)

Recorded evaluation configuration: {"Method Category":"Training-based"}. This record does not assert independent reproduction.

### Fast-DetectGPT

Accuracy: 73.4. Result ID: 69e0953f47f34ce924c99d9f.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76341e209131cea6bcf2.md>)

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

### IT:CLUST

Accuracy: 71.3. Result ID: 69e0953f47f34ce924c99da2.

[Reporting paper](<https://www.sota2.com/research/paper/69e06cfb7d0172140ec7c979.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c141e209131cea32053.md>)

Recorded evaluation configuration: {"Method Category":"Training-based"}. This record does not assert independent reproduction.

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