# AI-Generated Text detection on SeqXGPT-Bench cross-genre

Source: [AI-Generated Text detection on SeqXGPT-Bench cross-genre](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-seqxgpt-bench-cross-genre>)

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

Data updated: 2026-02-26T05:58:47.732Z

Evaluation of AI-generated text detection models using the SeqXGPT-Bench dataset, focusing on cross-genre text samples.

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) | SeqXGPT-Bench cross-genre |
| Metric | Precision (AI) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 14 of 14 |
| 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 (AI)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-seqxgpt-bench-cross-genre.md?metric=Precision%20(AI)>): Higher is better; unit: PERCENT.

- [Recall (AI)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-seqxgpt-bench-cross-genre.md?metric=Recall%20(AI)>): Higher is better; unit: PERCENT.

- [Precision (Human)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-seqxgpt-bench-cross-genre.md?metric=Precision%20(Human)>): Higher is better; unit: PERCENT.

- [Recall (Human)](<https://www.sota2.com/research/sota/ai-generated-text-detection-on-seqxgpt-bench-cross-genre.md?metric=Recall%20(Human)>): Higher is better; unit: PERCENT.

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

## Recorded results

| Method | Precision (AI) | Result date | Report paper |
| --- | --- | --- | --- |
| GLTR | 96.36 | Not recorded | 68fa73e41e209131cea5eb76 |
| Log-Rank | 95.58 | Not recorded | 68fa73e41e209131cea5eb76 |
| Log-Likelihood | 92.6 | Not recorded | 68fa73e41e209131cea5eb76 |
| RMLM | 89.9 | Not recorded | 68fa73e41e209131cea5eb76 |
| RanMASK | 89.84 | Not recorded | 68fa73e41e209131cea5eb76 |
| Bert | 89.82 | Not recorded | 68fa73e41e209131cea5eb76 |
| ChatGPT-Detector | 86.46 | Not recorded | 68fa73e41e209131cea5eb76 |
| SeqXGPT | 86.32 | Not recorded | 68fa73e41e209131cea5eb76 |
| Flooding | 83.75 | Not recorded | 68fa73e41e209131cea5eb76 |
| Roberta | 83.07 | Not recorded | 68fa73e41e209131cea5eb76 |
| Deberta | 79.51 | Not recorded | 68fa73e41e209131cea5eb76 |
| RDrop | 77.05 | Not recorded | 68fa73e41e209131cea5eb76 |
| SCRN | 73.61 | Not recorded | 68fa73e41e209131cea5eb76 |
| Entropy | 72.45 | Not recorded | 68fa73e41e209131cea5eb76 |

### GLTR

Precision (AI): 96.36. Result ID: 699311603a6c314849137771.

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

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

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Log-Rank

Precision (AI): 95.58. Result ID: 699311603a6c31484913776f.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa701a1e209131cea49064.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Log-Likelihood

Precision (AI): 92.6. Result ID: 699311603a6c31484913776e.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa66ae1e209131cea11b7a.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### RMLM

Precision (AI): 89.9. Result ID: 699311603a6c31484913777a.

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

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### RanMASK

Precision (AI): 89.84. Result ID: 699311603a6c314849137779.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a751e209131cea2844a.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Bert

Precision (AI): 89.82. Result ID: 699311603a6c314849137773.

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

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

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

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### ChatGPT-Detector

Precision (AI): 86.46. Result ID: 699311603a6c314849137776.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e641e209131cea3fab2.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### SeqXGPT

Precision (AI): 86.32. Result ID: 699311603a6c314849137772.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa71751e209131cea51585.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Flooding

Precision (AI): 83.75. Result ID: 699311603a6c314849137777.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa69af1e209131cea2361d.md>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Roberta

Precision (AI): 83.07. Result ID: 699311603a6c314849137774.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Deberta

Precision (AI): 79.51. Result ID: 699311603a6c314849137775.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa6aef1e209131cea2b2a6.md>)

[Implementation](<https://github.com/microsoft/DeBERTa111>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### RDrop

Precision (AI): 77.05. Result ID: 699311603a6c314849137778.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2c1e209131cea2c8c6.md>)

[Implementation](<https://github.com/dropreg/R-Drop>)

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### SCRN

Precision (AI): 73.61. Result ID: 699311603a6c31484913777b.

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

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

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

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

### Entropy

Precision (AI): 72.45. Result ID: 699311603a6c314849137770.

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

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

Recorded evaluation configuration: {"Cross-genre":true,"Attack":"None"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
