Add DeBERTa-ConPara-v218b-nofeat-norminf: raw-trained, norm inference

[MohamedMady19]

No description provided.

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

DeBERTa-ConPara-v218b-nofeat-norminf

Release date: 2026-08-23

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 99.61 and a TPR of 99.01% at FPR=5% and 96.57% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.64 and a TPR of 99.04% at FPR=5% and 96.98% 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!

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

RawGuard

Release date: 2026-08-25

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 99.61 and a TPR of 99.01% at FPR=5% and 96.57% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.64 and a TPR of 99.04% at FPR=5% and 96.98% 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!

[MohamedMady19]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

RawGuard

Release date: 2026-08-25

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 99.61 and a TPR of 99.01% at FPR=5% and 96.57% at FPR=1%. Without adversarial attacks, it achieved AUROC of 99.64 and a TPR of 99.04% at FPR=5% and 96.98% 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!

Hi @liamdugan, please feel free to merge this version. Thank you so much for the continuous support!