Add DeBERTa-ConPara-v2.18b-raw: no-preprocessing ablation, raw inference

[MohamedMady19]

DeBERTa-ConPara v2.18b-raw - controlled ablation of the unicode preprocessing pipeline. Same architecture, corpus, seed, and hyperparameters as v2.18; the only difference is that training text is stored raw (no unicode normalisation, no whitespace collapse) and inference skips preprocessing. Submitted alongside v2.18 as a matched pair.

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

DeBERTa-ConPara-v2.18b-raw

Release date: 2026-08-19

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 99.39 and a TPR of 98.83% at FPR=5% and 93.64% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.57 and a TPR of 99.19% at FPR=5% and 95.77% 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!