gradientTrace

Binary AI-text detector with a microsoft/deberta-v3-large backbone, trained on prompt-paired human/model text with humanized-text augmentation and generator-disjoint splits.

Held-out evaluation

slice n AUROC TPR @ 1% FPR
val 5114 0.9961 0.948
test_indomain 4683 0.9959 0.909
test_ood_generators 12036 0.9990 0.982
test_humanized 658 0.9998 0.991
test_heldout_domain 5060 0.9624 0.538

Full report: eval_report.json. Data manifest: data_manifest.json.

Intended use

Estimate P(machine-generated) for passages up to 512 tokens. Scores are evidence, not proof: false positives occur on atypical human writing, and paraphrased/humanized machine text is the known hard failure mode. Do not use as the sole basis for academic-integrity or moderation decisions.

Training

Runtime: Tesla T4; precision fp16; effective batch 32. Full configuration is in config.json and in the gradientTrace repository.

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