Add DeBERTaV3-ChatGLM-Detector submission

[Lingxiao-code]

Submitting DeBERTaV3-ChatGLM-Detector predictions and metadata for RAID benchmark evaluation

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

DeBERTaV3-ChatGLM-Detector

Release date: 2026-01-23

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 68.87 and a TPR of 35.75% at FPR=5% and 26.48% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 79.72 and a TPR of 50.81% at FPR=5% and 39.65% 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!