Add Mamba-AI-Detector to leaderboard

[fuzhiheng]

Submitting predictions for Mamba-AI-Detector AI text detector.

• Total predictions: 672000
• Model: Mamba-based classifier (2.1B parameters)

[github-actions]

It looks like this eval run failed. Please check the workflow logs to see what went wrong, then push a new commit to your PR to rerun the eval.

[fuzhiheng]

@liamdugan Could you please approve the workflow to run the evaluation for Mamba-AI-Detector? Thank you!

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

Mamba-AI-Detector

Release date: 2026-06-08

I've committed detailed results of this detector's performance on the test set to this PR.

Warning

Failed to find threshold values that achieve False Positive Rate(s): (['5%', '1%']) on all domains. This submission will not appear in the main leaderboard for those FPR values; it will only be visible within the splits in which the target FPR was achieved.

If all looks well, a maintainer will come by soon to merge this PR and your entry/entries will appear on the leaderboard. If you need to make any changes, feel free to push new commits to this PR. Thanks for submitting to RAID!

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

Mamba-AI-Detector

Release date: 2026-06-08

I've committed detailed results of this detector's performance on the test set to this PR.

On the RAID dataset as a whole (aggregated across all generation models, domains, decoding strategies, repetition penalties, and adversarial attacks), it achieved an AUROC of 58.36 and a TPR of 21.97% at FPR=5% and 8.91% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 68.42 and a TPR of 28.01% at FPR=5% and 11.83% at FPR=1%.

If all looks well, a maintainer will come by soon to merge this PR and your entry/entries will appear on the leaderboard. If you need to make any changes, feel free to push new commits to this PR. Thanks for submitting to RAID!