update the inference results

[Seven178178]

No description provided.

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

Zhuque AI Detection Assistant

Release date: 2026-04-14

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 99.81 and a TPR of 99.56% at FPR=5% and 97.46% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.93 and a TPR of 99.86% at FPR=5% and 98.93% 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]

@Seven178178 Let me know if you want me to merge your submission!

[Seven178178]

@Seven178178 Let me know if you want me to merge your submission!

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

Zhuque AI Detection Assistant

Release date: 2026-04-14

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 99.84 and a TPR of 99.62% at FPR=5% and 98.35% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.94 and a TPR of 99.87% at FPR=5% and 99.36% 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!