Submission #2 to Leaderboard for Veredict Labs AI Detector v1

[oscarzhou511]

Hi @liamdugan,
I've fixed all of the permission issues on Github and have uploaded a full prediction.json file with no missing tests. It would be great if you could approve an evaluation. Thank you so much for your help with this!

Oscar :)

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

Veredict Labs AI Detector

Release date: 2025-11-17

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 93.68 and a TPR of 89.84% at FPR=5% and 73.14% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 96.28 and a TPR of 93.80% at FPR=5% and 84.70% 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!

[liamdugan]

@oscarzhou511 would you like me to merge this result?

[oscarzhou511]

@liamdugan not just yet...I'm working on improving the method! Thanks!